Syed Sibte Raza Abidi

@inproceedings{Mohammadhassanzadeh;2018,

title = {Investigating Plausible Reasoning over Knowledge Graphs for Semantics-based Health Data Analytics},

author = {Hossein Mohammadhassanzadeh and Samina Abidi and William Van Woensel and Syed Sibte Raza Abidi},

url = {https://ieeexplore.ieee.org/document/8495925},

year  = {2018},

date = {2018-06-27},

booktitle = {Data Exploration in the Web 3.0 Age (DEW) conference track at 27th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE’18)},

publisher = {IEEE},

address = {Paris, France},

keywords = {Plausible reasoning, Query Rewriting, Semantic Analytics, Semantic Web reasoning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ESWC-WVW-2018,

title = {Optimizing Semantic Reasoning on Memory-Constrained Platforms using the RETE Algorithm},

author = {William Van Woensel and Syed Sibte Raza Abidi},

doi = {10.1007/978-3-319-93417-4_44},

year  = {2018},

date = {2018-06-07},

booktitle = {15th Extended Semantic Web Conference (ESWC 2018)},

pages = {682-696},

publisher = {Springer LNCS},

address = {Heraklion, Greece},

abstract = {Mobile hardware improvements have opened the door for deploying rule systems on ubiquitous, mobile platforms. By executing rule-based tasks locally, less re-mote (cloud) resources are needed, bandwidth usage is reduced, and local, time-sensitive tasks are no longer influenced by network conditions. Further, with data being increasingly published in semantic format, an opportunity arises for rule systems to leverage the embedded semantics of semantic, ontology-based data. To support this kind of ontology-based reasoning in rule systems, rule-based axiomatizations of ontology semantics can be utilized (e.g., OWL 2 RL). Nonetheless, recent benchmarks have found that any kind of ontology-based reasoning on mobile platforms still lacks scalability, at least when directly re-using existing (PC- or server-based) technologies. To create a tailored solution for resource-constrained platforms, we propose changes to RETE, the mainstay algorithm for production rule systems. In particular, we present an adapted algorithm that, by selectively pooling RETE memories, aims to better balance memory usage with performance. Further, we show that this algorithm is well-suited towards many typical Semantic Web scenarios. Using our custom algorithm, we perform an extensive evaluation of semantic reasoning both on the PC and mobile platform.},

keywords = {Mobile Computing, OWL2 RL, RETE, Semantic Web reasoning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{dias-04-18,

title = {A Mobile Early Stimulation Program to Support Children With Developmental Delays in Brazil},

author = {Raquel Dias and K. Guimarães and M. Lima and JG. Alves and Syed Sibte Raza Abidi},

url = {https://www.ncbi.nlm.nih.gov/pubmed/29678068},

year  = {2018},

date = {2018-04-24},

booktitle = {28th European Medical Informatics Conference (MIE2018), April 24-26, 2018},

publisher = {IOSPress},

address = {Gothenburg, Sweden},

abstract = {Developmental delay is a deviation development from the normative milestones during the childhood and it may be caused by neurological disorders. Early stimulation is a standardized and simple technique to treat developmental delays in children (aged 0-3 years), allowing them to reach the best development possible and to mitigate neuropsychomotor sequelae. However, the outcomes of the treatment depending on the involvement of the family, to continue the activities at home on a daily basis. To empower and educate parents of children with neurodevelopmental delays to administer standardized early stimulation programs at home, we developed a mobile early stimulation program that provides timely and evidence-based clinical decision support to health professionals and a personalized guidance to parents about how to administer early stimulation to their child at home.},

keywords = {Clinical Decision Support Systems, Health Informatics, Patient Education},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{davis-mie-2018,

title = {Interactive Dialogue-Based Patient Education for Juvenile Idiopathic Arthritis Using Argument Theory},

author = {Ben Rose Davis and E. Stringer and Samina Abidi and Syed Sibte Raza Abidi},

url = {https://www.ncbi.nlm.nih.gov/pubmed/29678020},

year  = {2018},

date = {2018-04-24},

booktitle = {28th European Medical Informatics Conference (MIE2018), April 24 - 26},

publisher = {IOSPress},

address = {Gothenburg, Sweden},

abstract = {Families of children with Juvenile Idiopathic Arthritis need a way to interact with Patient Education Materials (PEM) so that learning occurs at their own pace, on topics that are relevant to them. This paper proposes a novel, dialogue-based approach to address these needs. Using an extended version of Toulmin's model of argument as a theory-based classification method, we digitized paper-based PEM to render an interactive dialogue. The dialogue allows the user to explore a topic with respect to their interests and apprehensions as opposed to providing a static, generic document.},

keywords = {Clinical Decision Support Systems, Health Informatics, Patient Education, Personalized Medicine},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{daowd-mie-2018,

title = {A Personalized Risk Stratification Platform for Population Lifetime Healthcare},

author = {Ali Daowd and Samina Abidi and Ashraf Abusharekh and Syed Sibte Raza Abidi},

url = {https://www.ncbi.nlm.nih.gov/pubmed/29678095},

year  = {2018},

date = {2018-04-24},

booktitle = {28th European Medical Informatics Conference (MIE2018), April 24 - 26},

publisher = {IOSPress},

address = {Gothenburg, Sweden},

abstract = {Chronic diseases are the leading cause of death worldwide. It is well understood that if modifiable risk factors are targeted, most chronic diseases can be prevented. Lifetime health is an emerging health paradigm that aims to assist individuals to achieve desired health targets, and avoid harmful lifecycle choices to mitigate the risk of chronic diseases. Early risk identification is central to lifetime health. In this paper, we present a digital health-based platform (PRISM) that leverages artificial intelligence, data visualization and mobile health technologies to empower citizens to self-assess, self-monitor and self-manage their overall risk of major chronic diseases and pursue personalized chronic disease prevention programs. PRISM offers risk assessment tools for 5 chronic conditions, 2 psychiatric disorders and 8 different cancers.},

keywords = {Clinical Decision Support Systems, Health Informatics, Personalized Medicine},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{SCT2017,

title = {A Semantic Web Framework for Behavioral User Modeling and Action Planning for Personalized Behavior Modification},

author = {William Van Woensel and Wasif Baig and Syed Sibte Raza Abidi and Samina Abidi},

url = {https://niche.cs.dal.ca/wp-content/uploads/2017/12/paper-21-camera-ready-1.pdf},

year  = {2017},

date = {2017-12-06},

booktitle = {10th International Conference on Semantic Web Applications and Tools for Life Sciences},

publisher = {CEUR},

address = {Rome, Italy},

keywords = {Behaviour Modelling, Behavioural Change Theory, Personalized Medicine},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{ADL201,

title = {Achieving Pro-Active Guidance of Patients through ADL via Knowledge-Driven Activity Recognition and Complex Semantic Workflows},

author = {William Van Woensel and Patrice C. Roy and Syed Sibte Raza Abidi},

url = {https://niche.cs.dal.ca/wp-content/uploads/2017/12/paper_camera-ready.pdf},

year  = {2017},

date = {2017-12-06},

booktitle = {10th International Conference on Semantic Web Applications and Tools for Life Sciences},

publisher = {CEUR},

address = {Rome, Italy},

keywords = {Activity Recognition, Ambient Intelligence, Semantic Web reasoning},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/aiia/Mohammadhassanzadeh17,

title = {SeDAn: A Plausible Reasoning Approach for Semantics-based Data Analytics in Healthcare},

author = {Hossein Mohammadhassanzadeh and Samina Raza Abidi and Mohammad Salman Shah and Mehdi Karamollahi and Syed Sibte Raza Abidi},

url = {http://ceur-ws.org/Vol-1982/paper7.pdf},

year  = {2017},

date = {2017-11-14},

booktitle = {Workshop on Artificial Intelligence with Application in Health, 16th International Conference of the Italian Association for Artificial Intelligence},

address = {Bari, Italy},

keywords = {Health Data Analytics, Knowledge Management, Plausible reasoning, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Abidi2017,

title = {A Digital Framework to Support Providers and Patients in Diabetes Related Behavior Modification},

author = {Samina Abidi and Michael Vallis and Helena Piccinini-Vallis and Syed Ali Imran and Syed Sibte Raza Abidi},

year  = {2017},

date = {2017-04-26},

booktitle = {Informatics for Health (MIE2017), Manchester, April 24 - April 26, 2017},

publisher = {IOS Press},

keywords = {Behaviour Modelling, Behavioural Change Theory, Diabetes Management},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Rajabi2017,

title = {Discovering Central Practitioners in a Medical Discussion Forum Using Semantic Web Analytics },

author = {Enayat Rajabi and Syed Sibte Raza Abidi },

doi = {10.3233/978-1-61499-753-5-486},

issn = {1879-8365},

year  = {2017},

date = {2017-04-24},

booktitle = {Informatics for Health (MIE2017), Manchester, UK},

pages = {486-490},

publisher = {European Federation for Medical Informatics (EFMI) and IOS Press},

abstract = {The aim of this paper is to investigate semantic web based methods to

enrich and transform a medical discussion forum in order to perform semanticsdriven

social network analysis. We use the centrality measures as well as semantic

similarity metrics to identify the most influential practitioners within a discussion

forum. The centrality results of our approach are in line with centrality measures

produced by traditional SNA methods, thus validating the applicability of semantic

web based methods for SNA, particularly for analyzing social networks for

specialized discussion forums. },

keywords = {Semantic Web, Semantic Web Analytics, Social Network Analysis},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Roy2017,

title = {Monitoring Activities Related to Medication Adherence in Ambient Assisted Living Environments},

author = {Patrice C. Roy and Samina Raza Abidi and Syed Sibte Raza Abidi},

editor = {Rebecca Randell and Ronald Cornet and Colin McCowan and Niels Peek and Philip J. Scott},

doi = {10.3233/978-1-61499-753-5-28},

issn = {1879-8365},

year  = {2017},

date = {2017-04-24},

booktitle = {Informatics for Health: Connected Citizen-Led Wellness and Population Health (MIE 2017), Manchester, UK, April 24th-26th 2017},

volume = {235},

pages = {28-32},

publisher = {European Federation for Medical Informatics (EFMI) and IOS Press},

series = {Studies in Health Technology and Informatics},

abstract = {A recent trend in healthcare is to motivate patients to self-manage their health conditions in home-based settings. Medication adherence is an important aspect in disease self-management since sub-optimal medication adherence by the patient can lead to serious healthcare costs and discomfort for the patient. In order to alleviate the limitations of self-reported medication adherence, we can use ambient assistive living (AAL) technologies in smart environments. Activity recognition services allow to retrieve self-management information related to medication adherence in a less intrusive way. By remotely monitor compliance with medication adherence, self-management program’s interventions can be tailored and adapted based on the observed patient’s behaviour. To address this challenge, we present an AAL framework that monitor activities related to medication adherence.},

keywords = {Activity Recognition, Ambient Intelligence, medication adherence},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Abidi2016b,

title = {Transcription of Case Report Forms from Unstructured Referral Letters: A Semantic Text Analytics Approach},

author = {Syed Sibte Raza Abidi and Abhinav Kumar Singh and Sean Christie},

doi = {10.3233/978-1-61499-678-1-322},

year  = {2016},

date = {2016-08-15},

booktitle = {Exploring Complexity in Health: An Interdisciplinary Systems Approach. 26th European Medical Informatics Conference (MIE2016), Munich},

volume = {228},

pages = {322-326},

publisher = {IOS Press},

series = {Studies in Health Technology and Informatics},

abstract = {In this paper we present a framework for the semi-automatic extraction of medical entities from referral letters and use them to transcribe a case report form. Our framework offers the functionality to: (a) extract the medical entity from the unstructured referral letters, (b) classify them according to their semantic type, and (c) transcribe a case report form based on the extracted information from the referral letter. We take a semantic text analytics approach where SNOMED-CT ontology is used to both classify referral concepts and to establish semantic similarities between referral concepts and CRF elements. We used 100 spine injury referral letters, and a standard case report form used by Association of Dalhousie Neurosurgeons, Dalhousie University},

keywords = {Referral letters, semantic mapping, Unstructured text analysis},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Baig2016b,

title = {An Ontological Model of Behaviour Theory to Generate Personalized Action Plans to Modify Behaviours},

author = {Wasif Hasan Baig and Samina Abidi and Syed Sibte Raza Abidi},

doi = {10.3233/978-1-61499-678-1-399},

year  = {2016},

date = {2016-08-15},

booktitle = {Exploring Complexity in Health: An Interdisciplinary Systems Approach. 26th European Medical Informatics Conference (MIE2016), Munich},

volume = {228},

pages = {399-403},

publisher = {IOS Press},

series = {Studies in Health Technology and Informatics},

abstract = {Behavior change approaches aim to assist patients in achieving self-efficacy in managing their condition. Social cognitive theory (SCT) stipulates self-efficacy as a central element to behavior change and provides constructs to achieve self-efficacy guided by person-specific action plans. In our work, to administer behaviour change in patient with chronic conditions, our approach entails the computerization of SCT-based self-efficacy constructs in order to generate personalized action plans that are suitable to an individual's current care scenario. We have taken a knowledge management approach, whereby we have computerized the SCT-based self-efficacy constructs in terms of a high-level SCT knowledge model that can be operationalized to generate personalized behaviour change action plans. We have collected and computerized behavior change content targeting healthy living and physical activity. Semantic web technologies have been used to develop the SCT knowledge model, represented in terms of an ontology and SWRL rules. The ontological SCT model can inferred to generate personalized self-management action plans for a given patient profile. We present formative evaluation of the clinical correctness and relevance of the generated personalized action plans for a range of test patient profiles},

keywords = {Action Plans, Behaviour Modelling, Information Personalization, Ontology},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Abidi2016b,

title = {A Digital Health System to Assist Family Physicians to Safely Prescribe NOAC Medication},

author = {Samina Raza Abidi and Jafna Cox and Ashraf Abusharekh and Nima Hashemian and Syed Sibte Raza Abidi},

doi = {10.3233/978-1-61499-678-1-519},

year  = {2016},

date = {2016-08-15},

booktitle = {Exploring Complexity in Health: An Interdisciplinary Systems Approach. 26th European Medical Informatics Conference (MIE2016), Munich},

volume = {228},

pages = {519-523},

publisher = {IOS Press},

series = {Studies in Health Technology and Informatics},

abstract = {Atrial Fibrillation (AF) is the most common cardiac arrhythmia. Generally, the therapeutic options for managing AF include the use of anticoagulant drugs that prevent the coagulation of blood. New Oral Anticoagulants (NOACs) are not optimally prescribed to patients, despite their efficacy. In Canada, NOAC medications are not directly available to patients who belong to provincial benefits programs, rather a NOAC special authorization process establishes the eligibility of a patient to receive a NOAC and be paid by the provincial Pharmacare program. This special authorization process is tedious and paper-based which inhibits physicians to prescribe NOAC leading to suboptimal AF care to patients. In this paper, we present a computerized NOAC Authorization Decision Support System (NOAC-ADSS), accessible to physicians to help them (a) determine a patient eligibility for NOAC based on Canadian AF clinical guidelines, and (b) complete the special authorization form. We present a semantic web based system to ontologically model the NOAC eligibility criteria and execute the knowledge to determine a patient NOAC eligibility and dosage},

keywords = {Clinical Decision Support Systems, Clinical Practice Guidelines, Digital Health},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Mohammadhassanzadeh2016,

title = {A Semantic Web-based Approach to Plausible Reasoning for Improving Clinical Knowledge Engineering},

author = {Hossein Mohammadhassanzadeh and William Van Woensel and Samina Raza Abidi and Syed Sibte Raza Abidi},

year  = {2016},

date = {2016-02-24},

urldate = {2016-02-24},

booktitle = {IEEE International Conference on Biomedical and Health Informatics, Las Vegas},

abstract = {In this paper, we present a semantic web based knowledge engineering approach to extend the coverage of medical knowledge-based systems in order to solve complex medical queries that demand the integration of deterministic and plausible knowledge.  We leverage plausible reasoning mechanisms, which exploit associations between the underlying domain-specific data, as well as tentative domain knowledge, to extend the coverage of a medical knowledge base. We demonstrate that Semantic Web technologies, due to their efficient solutions for federated data management and built-in DL-based inferencing methods, offer useful opportunities to support plausible reasoning for medical decision support tasks. We evaluated our multi-strategy medical reasoning approach using real-world medical data. Our results illustrate that plausible reasoning improved the knowledge coverage of the original medical knowledge base by 10-12%, and in turn helped to solve complex disease diagnostic queries.},

keywords = {Clinical Decision Support Systems, Plausbile Reasoning, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ruleml/WoenselRA16,

title = {SmartRL: A Context-Sensitive, Ontology-Based Rule Language for Assisted Living in Smart Environments},

author = {William Van Woensel and Patrice C. Roy and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.1007/978-3-319-42019-6_22},

doi = {10.1007/978-3-319-42019-6_22},

year  = {2016},

date = {2016-01-01},

booktitle = {Rule Technologies. Research, Tools, and Applications - 10th International Symposium, RuleML 2016, Stony Brook, NY, USA, July 6-9, 2016. Proceedings},

pages = {341--349},

crossref = {DBLP:conf/ruleml/2016},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/WoenselMAA15,

title = {Multi-Strategy Semantic Web Reasoning for Medical Knowledge Bases},

author = {William Van Woensel and Hossein Mohammadhassanzadeh and Samina Raza Abidi and Syed Sibte Raza Abidi},

url = {http://ceur-ws.org/Vol-1428/BDM2I_2015_paper_8.pdf},

year  = {2015},

date = {2015-10-11},

booktitle = {Proceedings of International Workshop on Biomedical Data Mining, Modeling, and Semantic Integration: A Promising Approach to Solving Unmet Medical Needs (BDM2I2015)},

keywords = {Health Informatics, Knowledge Based Systems, Ontology, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/medinfo/JafarpourAAA15,

title = {INITIATE: An Intelligent Adaptive Alert Environment},

author = {Borna Jafarpour and Samina Raza Abidi and Ahmad Marwan Ahmad and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.3233/978-1-61499-564-7-285},

doi = {10.3233/978-1-61499-564-7-285},

isbn = {978-1-61499-563-0},

year  = {2015},

date = {2015-08-23},

booktitle = {MEDINFO 2015: eHealth-enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics, Sao Paulo, Brazil},

pages = {285--289},

publisher = {IOS Press},

keywords = {Alert Fatigue, Clinical Decision Support Systems, Knowledge Management},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/medinfo/WoenselRAA15,

title = {A Mobile and Intelligent Patient Diary for Chronic Disease Self-Management},

author = {William Van Woensel and Patrice C. Roy and Samina Raza Abidi and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.3233/978-1-61499-564-7-118},

doi = {10.3233/978-1-61499-564-7-118},

isbn = {978-1-61499-563-0},

year  = {2015},

date = {2015-08-23},

booktitle = {MEDINFO 2015: eHealth-enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics, Sao Paulo, Brazil},

pages = {118--122},

publisher = {IOS Press},

keywords = {Chronic Disease Management, Mobile Health, Patient Diary, Patient Empowerment, Self-Management},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/bigdata/AbusharekhSHA15,

title = {H-DRIVE: A Big Health Data Analytics Platform for Evidence-Informed Decision Making},

author = {Ashraf Abusharekh and Samuel Alan Stewart and Nima Hashemian and Syed Sibte Raza Abidi},

url = {http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7194705},

doi = {10.1109/BigDataCongress.2015.68},

isbn = {978-1-4673-7278-7},

year  = {2015},

date = {2015-06-27},

booktitle = {IEEE International Congress on Big Data, New York City, NY, USA},

pages = {416--423},

publisher = {IEEE Press},

keywords = {Clinical Decision Support Systems, Decision Support, Health Informatics, Information Personalization, Knowledge Management, Knowledge Modelling, Ontology},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ishimr/Abidi15,

title = {A Clinical Decision Support Framework to Monitor and Manage Atrial Fibrillation Patients},

author = {Syed Sibte Raza Abidi and Samina Raza Abidi and Ashraf Abusharekh and Jafna Cox 

},

year  = {2015},

date = {2015-06-25},

booktitle = {17th International Symposium on Health Information Management Research, York, UK},

keywords = {Chronic Disease Management, Clinical Decision Support Systems, Clinical Practice Guidelines, Knowledge Management, Mobile Health},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/bigdataservice/ChaAA15,

title = {Towards a 'Big' Health Data Analytics Platform},

author = {Sangwhan Cha and Ashraf Abusharekh and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.1109/BigDataService.2015.13},

doi = {10.1109/BigDataService.2015.13},

isbn = {978-1-4799-8128-1},

year  = {2015},

date = {2015-04-02},

booktitle = {First IEEE International Conference on Big Data Computing Service and Applications, BigDataService, Redwood City, CA, USA},

pages = {233--241},

publisher = {IEEE Press},

keywords = {Big Data, Data Mining, Decision Support, Health Data Analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{WIC2014,

title = {A Comparison of Mobile Rule Engines for Reasoning on Semantic Web Based Health Data},

author = { William Van Woensel and Newres Al Haider and Patrice C. Roy and Ahmad Marwan Ahmad and Syed Sibte Raza Abidi},

editor = { Dominik Śl?zak and Hung Son Nguyen and Marek Reformat and Eugene Santos Jr.},

url = {http://web.cs.dal.ca/~woensel/paper/A Comparison of Mobile Rule Engines for Reasoning on Semantic Web Based Health Data.pdf},

year  = {2014},

date = {2014-01-01},

booktitle = {2014 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2014)},

pages = {126--133},

publisher = {IEEE Computer Society Press},

address = {Warsaw, Poland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/semweb/WoenselHAA14,

title = {A Cross-Platform Benchmark Framework for Mobile Semantic Web Reasoning Engines},

author = { William Van Woensel and Newres Al Haider and Ahmad Marwan Ahmad and Syed Sibte Raza Abidi},

url = {http://web.cs.dal.ca/~woensel/paper/A Cross-Platform Benchmark Framework for Mobile Semantic Web Reasoning Engines.pdf},

year  = {2014},

date = {2014-01-01},

booktitle = {The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part I},

pages = {389--408},

crossref = {DBLP:conf/semweb/2014-1},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/mie/StewartAPBA14,

title = {Clinical Guideline-Driven Personalized Self-Management Diary for Paediatric Cancer Survivors},

author = {Samuel Alan Stewart and Samina Raza Abidi and Louise Parker and Mark Bernstein and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.3233/978-1-61499-432-9-18},

year  = {2014},

date = {2014-01-01},

booktitle = {e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31 - September 3, 2014},

pages = {18--22},

crossref = {DBLP:conf/mie/2014},

keywords = {Chronic Disease Management, Clinical Practice Guidelines, Information Personalization, Patient Diary, Patient Education, Self-Management},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/bigdataconf/HaiderAWA14,

title = {Integrating Existing Large Scale Medical Laboratory Data into the Semantic Web Framework},

author = {Newres Al Haider and Samina Raza Abidi and William Van Woensel and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.1109/BigData.2014.7004338},

year  = {2014},

date = {2014-01-01},

booktitle = {2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014},

pages = {1040--1048},

crossref = {DBLP:conf/bigdataconf/2014},

keywords = {Health Data Analytics, Health Informatics, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/mie/RussellAA14,

title = {Shared Decision Making: Using Theories and Technology to Engage the Patient in Their Health Journey},

author = {Amina Russell and Samina Raza Abidi and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.3233/978-1-61499-432-9-303},

year  = {2014},

date = {2014-01-01},

booktitle = {e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31 - September 3, 2014},

pages = {303--307},

crossref = {DBLP:conf/mie/2014},

keywords = {Behaviour Modelling, Behavioural Theory, Health Informatics, Shared Decision Making},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Roy2014,

title = {Towards Guideline Compliant Clinical Decision Support System Integration in Smart and Mobile Environments: Formalizing and Using Clinical Guidelines For Diagnosing Sleep Apnea},

author = { Patrice C. Roy and Newres Al Haider and William Van Woensel and Ahmad Marwan Ahmad and Syed Sibte Raza Abidi},

url = {http://web.cs.dal.ca/~woensel/paper/Towards Guideline Compliant Clinical Decision Support System Integration in Smart and Mobile Environments.pdf},

year  = {2014},

date = {2014-01-01},

booktitle = {AAAI Workshop on Artificial Intelligence Applied to Assistive Technologies and Smart Environments (ATSE 2014)},

publisher = {AAAI Press},

address = {Quebec, Canada},

keywords = {Clinical Decision Support Systems, Clinical Practice Guidelines, Health Informatics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/webi/AbidiDM14,

title = {Web Service Matchmaking Using a Hybrid of Signature and Specification Matching Methods},

author = {Syed Sibte Raza Abidi and Ali Daniyal and Syed Farrukh Mehdi},

url = {http://dx.doi.org/10.1109/WI-IAT.2014.107},

year  = {2014},

date = {2014-01-01},

booktitle = {2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014 - Volume I},

pages = {266--273},

crossref = {DBLP:conf/webi/2014-1},

keywords = {Specification Matching, Web Services},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Stewart2013,

title = {Linking Like-minded Professionals within an Online Medical Community Based on their Message Content},

author = {Samuel Alan Stewart and Syed Sibte Raza Abidi},

editor = {Syed Abidi and Peter Bath},

year  = {2013},

date = {2013-06-26},

booktitle = {16th Intl. Symp. on Health Information Management Research, Halifax},

keywords = {Knowledge Translation, Social Network Analysis},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/csws/JafarpourA13,

title = {A Semantic Web Based Ontology Mapping and Instance Transformation Framework},

author = {Borna Jafarpour and Syed Sibte Raza Abidi},

url = {http://ceur-ws.org/Vol-1054/paper-03.pdf},

year  = {2013},

date = {2013-01-01},

booktitle = {4th Canadian Semantic Web Symposium part of the Semantic Trilogy 2013, Montreal, QC, Canada, July 10th, 2013.},

pages = {5--11},

crossref = {DBLP:conf/csws/2013},

keywords = {Ontology Mapping, OWL, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/aime/AbidiA13,

title = {An Ontology-Driven Personalization Framework for Designing Theory-Driven Self-Management Interventions},

author = {Syed Sibte Raza Abidi and Samina Raza Abidi},

url = {http://dx.doi.org/10.1007/978-3-319-03916-9_8},

year  = {2013},

date = {2013-01-01},

booktitle = {Process Support and Knowledge Representation in Health Care - AIME 2013 Joint Workshop, KR4HC 2013/ProHealth 2013, Murcia, Spain, June 1, 2013, Revised Selected Papers},

pages = {97--112},

crossref = {DBLP:conf/aime/2013k},

keywords = {Behaviour Modelling, Ontology, Patient Education, Self-Management, Semantic Web, Social Cognition Theory},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/ipps/YeoA13,

title = {Dataflow Oriented Similarity Matching for Scientific Workflows},

author = {Philip Yeo and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.1109/IPDPSW.2013.69},

year  = {2013},

date = {2013-01-01},

booktitle = {2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, Cambridge, MA, USA, May 20-24, 2013},

pages = {2091--2100},

crossref = {DBLP:conf/ipps/2013w},

keywords = {Scientific Workflows, Similarity Matching},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/aime/JafarpourA13,

title = {Merging Disease-Specific Clinical Guidelines to Handle Comorbidities in a Clinical Decision Support Setting},

author = {Borna Jafarpour and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.1007/978-3-642-38326-7_5},

year  = {2013},

date = {2013-01-01},

booktitle = {14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29 - June 1, 2013. Proceedings},

pages = {28--32},

crossref = {DBLP:conf/aime/2013},

keywords = {Clinical Decision Support Systems, Clinical Pathways, Comorbidities, Health Informatics, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/medinfo/AbidiSSA13,

title = {Usability Evaluation of Family Physicians' Interaction with the Comorbidity Ontological Modeling and ExecuTion System (COMET)},

author = {Samina Raza Abidi and Samuel Alan Stewart and Michael A. Shepherd and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.3233/978-1-61499-289-9-447},

year  = {2013},

date = {2013-01-01},

booktitle = {MEDINFO 2013 - Proceedings of the 14th World Congress on Medical and Health Informatics, 20-13 August 2013, Copenhagen, Denmark},

pages = {447--451},

crossref = {DBLP:conf/medinfo/2013},

keywords = {Clinical Decision Support Systems, Comorbidities, Ontology, Semantic Web, Usability Evaluation},

pubstate = {published},

tppubtype = {inproceedings}

}