Syed Sibte Raza Abidi

@inproceedings{glean_2022,

title = {Explainable Decision Support using Task Network Models in Notation3: Computerizing Lipid Management Clinical Guidelines as Interactive Task Networks},

author = {William Van Woensel and Samina Abidi and Karthik Tennankore and George Worthen and Syed Sibte Raza Abidi},

year  = {2022},

date = {2022-06-17},

urldate = {2022-06-17},

booktitle = {20th International Conference on Artificial Intelligence in Medicine (AIME 2022), June 14-17, 2022, Halifax},

publisher = {Springer},

keywords = {Clinical Decision Support Systems, Clinical guidelines, Notation3, Semantic Web reasoning, Task Network Models},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{glean-demo,

title = {Clinical Guidelines as Executable and Interactive Workflows with FHIR-Compliant Health Data Input using GLEAN},

author = {William Van Woensel and Samina Abidi and Karthik Tennankore and George Worthen and Syed Sibte Raza Abidi},

year  = {2022},

date = {2022-06-17},

urldate = {2022-06-17},

booktitle = {20th International Conference on Artificial Intelligence in Medicine (AIME 2022): Demo Track, June 14-17, Halifax, 2022},

publisher = {Springer},

keywords = {Clinical Decision Support Systems, Clinical guidelines, Notation3, Semantic Web reasoning, Task Network Models},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{wvw_aime_21,

title = {Semantic Web Framework to Computerize Staged Reflex Testing Protocols to Mitigate Underutilization of Pathology Tests for Diagnosing Pituitary Disorders},

author = {William Van Woensel and Manal Elnenaei and Syed Ali Imran and Syed Sibte Raza Abidi},

year  = {2021},

date = {2021-06-16},

urldate = {2021-06-16},

booktitle = {International Conference on Artificial Intelligence in Medicine (AIME)},

keywords = {Clinical Decision Support Systems, Reflex Protocols, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{wvw_mie21_1,

title = {Using Knowledge Graphs to Plausibly Infer Missing Associations in EMR Data},

author = {William Van Woensel and Chad Armstrong and Malavan Rajaratnam and Vaibhav Gupta and Syed Sibte Raza Abidi},

url = {https://doi.org/10.3233/shti210192},

year  = {2021},

date = {2021-05-29},

urldate = {2021-05-29},

booktitle = {31st Medical Informatics Europe (MIE2021)},

pages = {417-421},

keywords = {Clinical Decision Support Systems, Knowledge Graphs, Plausible reasoning, Semantic Similarity},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{rad2021,

title = {Using Interactive Visual Analytics to Optimize in Real-Time Blood Products Inventory at a Blood Bank},

author = {Jaber Rad and Jason Quinn and Calvino Cheng and Robert Liwski and Samina Raza Abidi and Syed Sibte Raza Abidi},

year  = {2021},

date = {2021-05-29},

urldate = {2021-05-29},

booktitle = {31st Medical Informatics Europe (MIE2021)},

keywords = {Blood Inventory Management, Clinical Decision Support Systems, Visual analytics},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{VANWOENSEL2020-COCIG1,

title = {A CIG Integration Framework to Provide Decision Support for Comorbid Conditions using Transaction-based Semantics and Temporal Planning},

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

year  = {2020},

date = {2020-08-01},

urldate = {2020-08-01},

booktitle = {International Conference on Artificial Intelligence in Medicine (AIME 2020)},

abstract = {Managing comorbid conditions, i.e., patients with multiple medical conditions, is quite challenging for Clinical Decision Support Systems (CDSS) based on computerized Clinical Practice Guidelines (CPG). In case of comorbidity, CDSS will need to recommend treatments from multiple different CPG, which may adversely interact (e.g., drug-disease interactions), or introduce inefficiencies. A-priori, static integration of computerized comorbid CPG is insufficient for clinical practice. In this paper, we present a solution for dynamic integration of CPG in response to evolving health profiles. Using Description and Transaction Logics, we define a set of CIG integration semantics for encoding integration decisions that cope with comorbidity issues at execution-time. These dynamic, transaction-based semantics are well-suited to roll back prior decisions when no longer safe or efficient; or, inversely, apply new decisions when relevant. Moreover, comorbid CIG integration should consider temporal properties of CIG tasks—at execution-time, these properties will be influenced by a range of temporal constraints. Given all temporal constraints, optimal task schedules will be calculated that will determine the feasibility of CIG integration decisions.},

keywords = {Clinical Decision Support Systems, Clinical Practice Guidelines, Comorbidities, Ontology, Semantic Web},

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{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/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/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{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/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}

}

@inproceedings{DBLP:conf/hicss/AbidiCAS12,

title = {Using OWL Ontologies for Clinical Guidelines Based Comorbid Decision Support},

author = {Samina Raza Abidi and Jafna Cox and Syed Sibte Raza Abidi and Michael A. Shepherd},

url = {http://dx.doi.org/10.1109/HICSS.2012.629},

year  = {2012},

date = {2012-01-01},

booktitle = {45th Hawaii International International Conference on Systems Science (HICSS-45 2012), Proceedings, 4-7 January 2012, Grand Wailea, Maui, HI, USA},

pages = {3030--3038},

crossref = {DBLP:conf/hicss/2012},

keywords = {Clinical Decision Support Systems, Clinical Practice Guidelines, Comorbidities, OWL},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/cbms/HashemianA12,

title = {Modeling Clinical Workflows Using Business Process Modeling Notation},

author = {Nima Hashemian and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.1109/CBMS.2012.6266322},

year  = {2012},

date = {2012-01-01},

booktitle = {25th IEEE International Symposium on Computer-Based Medical Systems, June 20-22, 2012, Rome, Italy},

pages = {1--4},

crossref = {DBLP:conf/cbms/2012},

keywords = {Clinical Decision Support Systems, Clinical Pathways, Health Informatics, Knowledge Management, Ontology},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/aime/HussainA09,

title = {Integrating Healthcare Knowledge Artifacts for Clinical Decision Support: Towards Semantic Web Based Healthcare Knowledge Morphing},

author = {Sajjad Hussain and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.1007/978-3-642-02976-9_23},

year  = {2009},

date = {2009-01-01},

booktitle = {12th Conference on Artificial Intelligence in Medicine, AIME 2009, Verona, Italy, July 18-22, 2009. },

pages = {171--175},

crossref = {DBLP:conf/aime/2009},

keywords = {Clinical Decision Support Systems, Clinical Practice Guidelines, Knowledge Management, Knowledge Morphing},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/aime/HussainAA07,

title = {Semantic Web Framework for Knowledge-Centric Clinical Decision Support Systems},

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

url = {http://dx.doi.org/10.1007/978-3-540-73599-1_60},

year  = {2007},

date = {2007-01-01},

booktitle = {Artificial Intelligence in Medicine, 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Amsterdam, The Netherlands, July 7-11, 2007, Proceedings},

pages = {451--455},

crossref = {DBLP:conf/aime/2007},

keywords = {Clinical Decision Support Systems, Knowledge Management, Knowledge Modelling, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/hicss/HussainA07,

title = {Ontology Driven CPG Authoring and Execution via a Semantic Web Framework},

author = {Sajjad Hussain and Syed Sibte Raza Abidi},

url = {http://dx.doi.org/10.1109/HICSS.2007.408},

year  = {2007},

date = {2007-01-01},

booktitle = {40th Hawaii International International Conference on Systems Science (HICSS-40 2007), CD-ROM / Abstracts Proceedings, 3-6 January 2007, Waikoloa, Big Island, HI, USA},

pages = {135},

crossref = {DBLP:conf/hicss/2007},

keywords = {Clinical Decision Support Systems, CPG Computerization, Knowledge Execution, Ontology, Ontology Engineering, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/medinfo/AbidiAHS07,

title = {Ontology-based Modeling of Clinical Practice Guidelines: A Clinical Decision Support System for Breast Cancer Follow-up Interventions at Primary Care Settings},

author = {Samina Abidi and Syed Sibte Raza Abidi and Sajjad Hussain and Michael A. Shepherd},

url = {http://dx.doi.org/10.3233/978-1-58603-774-1-845},

year  = {2007},

date = {2007-01-01},

booktitle = {MEDINFO 2007 - Proceedings of the 12th World Congress on Health (Medical) Informatics - Building Sustainable Health Systems, 20-24 August, 2007, Brisbane, Australia},

pages = {845--849},

crossref = {DBLP:conf/medinfo/2007},

keywords = {Breast Cancer, Clinical Decision Support Systems, Clinical Practice Guidelines, CPG Computerization, Ontology, Semantic Web},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/cbms/AbidiA01,

title = {A Case for Supplementing Evidence Base Medicine with Inductive Clinical Knowledge: Towards a Technology-Enriched Integrated Clinical Evidence System},

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

url = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2001.941689},

year  = {2001},

date = {2001-01-01},

booktitle = {14th IEEE Symposium on Computer-Based Medical Systems (CBMS 2001), 26-27 July 2001, Bethesda, MD, USA},

pages = {5--10},

crossref = {DBLP:conf/cbms/2001},

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

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/pricai/AbidiG98,

title = {Applying Knowledge Discovery to Predict Infectious Disease Epidemics},

author = {Syed Sibte Raza Abidi and Alwyn Goh},

url = {http://dx.doi.org/10.1007/BFb0095267},

year  = {1998},

date = {1998-01-01},

booktitle = {PRICAI'98, Topics in Artificial Intelligence, 5th Pacific Rim International Conference on Artificial Intelligence, Singapore, November 22-27, 1998, Proceedings},

pages = {170--181},

crossref = {DBLP:conf/pricai/1998},

keywords = {Clinical Decision Support Systems, Data Mining, Health Data Analytics, Knowledge Based Systems},

pubstate = {published},

tppubtype = {inproceedings}

}