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About Me
Research Interests
Your research interests.
Publications
2017
Hossein Mohammadhassanzadeh; Samina Raza Abidi; Mohammad Salman Shah; Mehdi Karamollahi; Syed Sibte Raza Abidi
SeDAn: A Plausible Reasoning Approach for Semantics-based Data Analytics in Healthcare Proceedings Article
In: Workshop on Artificial Intelligence with Application in Health, 16th International Conference of the Italian Association for Artificial Intelligence, Bari, Italy, 2017.
Links | BibTeX | Tags: Health Data Analytics, Knowledge Management, Plausible reasoning, Semantic Web
@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}
}
2016
Suria Kala Subbu
A Semantic Web Framework For Representing, Linking And Analyzing Medical Data For Optimizing Laboratory Utilization Journal Article
In: 2016.
Abstract | Links | BibTeX | Tags: Health Data Analytics, Health Informatics, Knowledge Based Systems, Knowledge Linkage, Knowledge Management, Ontology Engineering, Semantic Web
@article{Subbu16,
title = {A Semantic Web Framework For Representing, Linking And Analyzing Medical Data For Optimizing Laboratory Utilization},
author = {Suria Kala Subbu},
url = {https://dalspace.library.dal.ca/xmlui/handle/10222/72131?show=full},
year = {2016},
date = {2016-09-01},
abstract = {In this thesis, we investigate semantic web based methods for representing, linking and analyzing medical data. The main challenge addressed in this work is the transformation of data stored in a relational database to an ontological model that allows to represent as RDF triples and to link the data with external data sources using linked data principles. We have implemented a semantic analytics framework that comprises the following elements: (a) Domain-specific ontology to represent the data model and data inference. (b) RDMS data extraction using a domain-specific ontology (TBOX) based on the relational database schema; (c) Ontology instantiation (ABOX) that involves converting the relational data in terms of RDF triples. A key feature of our approach is the data is not physically migrated from the RDBS to RDF, rather we dynamically materialize the RDF triples thus avoiding the creation of a large RDF dump; (d) Linking the RDF data with available open data in RDF format using ontology-based concept alignments; and (e) Semantic analytics using SPARQL to identify semantically-salient patterns within the data. We have applied our semantic analytics data to analyze pathology lab data (over 5 years of pathology order data), where we were able to identify prevalent order-sets inherent within the data, and we also evaluated the change in the frequent order-sets over a five year time period.},
keywords = {Health Data Analytics, Health Informatics, Knowledge Based Systems, Knowledge Linkage, Knowledge Management, Ontology Engineering, Semantic Web},
pubstate = {published},
tppubtype = {article}
}
Nelofar Kureshi; Syed Sibte Raza Abidi; Christian Blouin
A Predictive Model for Personalized Therapeutic Interventions in Non-small Cell Lung Cancer. Journal Article
In: IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 1, pp. 424-431, 2016, ISSN: 2168-2208.
Abstract | Links | BibTeX | Tags: Cancer, Data Mining, Decision Trees, Health Data Analytics, Personalized Medicine, Prediction Model
@article{Kureshi:IeeeJBiomedHealthInform:2014,
title = {A Predictive Model for Personalized Therapeutic Interventions in Non-small Cell Lung Cancer.},
author = {Nelofar Kureshi and Syed Sibte Raza Abidi and Christian Blouin},
url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6974996&isnumber=7369993},
doi = {10.1109/JBHI.2014.2377517},
issn = {2168-2208},
year = {2016},
date = {2016-01-01},
journal = {IEEE Journal of Biomedical and Health Informatics},
volume = {20},
number = {1},
pages = {424-431},
abstract = {Non-small cell lung cancer (NSCLC) constitutes the most common type of lung cancer and is frequently diagnosed at advanced stages. Clinical studies have shown that molecular targeted therapies increase survival and improve quality of life in patients. Nevertheless, the realization of personalized therapies for NSCLC faces a number of challenges including the integration of clinical and genetic data and a lack of clinical decision support tools to assist physicians with patient selection. To address this problem, we used frequent pattern mining to establish the relationships of patient characteristics and tumor response in advanced NSCLC. Univariate analysis determined that smoking status, histology, EGFR mutation, and targeted drug were significantly associated with response to targeted therapy. We applied four classifiers to predict treatment outcome from EGFR-TKIs. Overall, the highest classification accuracy was 76.56% and the AUC was 0.76. The decision tree used a combination of EGFR mutations, histology, and smoking status to predict tumor response and the output was both easily understandable and in keeping with current knowledge. Our findings suggest that support vector machines and decision trees are a promising approach for clinical decision support in the patient selection for targeted therapy in advanced NSCLC},
keywords = {Cancer, Data Mining, Decision Trees, Health Data Analytics, Personalized Medicine, Prediction Model},
pubstate = {published},
tppubtype = {article}
}
2015
Sangwhan Cha; Ashraf Abusharekh; Syed Sibte Raza Abidi
Towards a 'Big' Health Data Analytics Platform Proceedings Article
In: First IEEE International Conference on Big Data Computing Service and Applications, BigDataService, Redwood City, CA, USA, pp. 233–241, IEEE Press, 2015, ISBN: 978-1-4799-8128-1.
Links | BibTeX | Tags: Big Data, Data Mining, Decision Support, Health Data Analytics
@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}
}
2014
Newres Al Haider; Samina Raza Abidi; William Van Woensel; Syed Sibte Raza Abidi
Integrating Existing Large Scale Medical Laboratory Data into the Semantic Web Framework Proceedings Article
In: 2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014, pp. 1040–1048, 2014.
Links | BibTeX | Tags: Health Data Analytics, Health Informatics, Semantic Web
@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}
}
2006
Qingshuang Jiang; Syed Sibte Raza Abidi
From Clusters to Rules: A Hybrid Framework for Generalized Symbolic Rule Induction Proceedings Article
In: Advances in Machine Learning and Cybernetics, pp. 219-228, Springer, 2006.
BibTeX | Tags: Data Mining, Health Data Analytics
@inproceedings{jiang2006clusters,
title = {From Clusters to Rules: A Hybrid Framework for Generalized Symbolic Rule Induction},
author = {Qingshuang Jiang and Syed Sibte Raza Abidi},
year = {2006},
date = {2006-01-01},
booktitle = {Advances in Machine Learning and Cybernetics},
pages = {219-228},
publisher = {Springer},
keywords = {Data Mining, Health Data Analytics},
pubstate = {published},
tppubtype = {inproceedings}
}
2005
Jin Yu; Syed Sibte Raza Abidi; Paul Habib Artes; Andrew R. McIntyre; Malcolm I. Heywood
Automated Optic Nerve Analysis for Diagnostic Support in Glaucoma Proceedings Article
In: 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 23-24 June 2005, Dublin, Ireland, pp. 97–102, 2005.
Links | BibTeX | Tags: Classification, Clustering, Data Mining, Decision Support Systems, Glaucoma, Health Data Analytics, Optic Nerve
@inproceedings{DBLP:conf/cbms/YuAAMH05,
title = {Automated Optic Nerve Analysis for Diagnostic Support in Glaucoma},
author = {Jin Yu and Syed Sibte Raza Abidi and Paul Habib Artes and Andrew R. McIntyre and Malcolm I. Heywood},
url = {http://dx.doi.org/10.1109/CBMS.2005.36},
year = {2005},
date = {2005-01-01},
booktitle = {18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 23-24 June 2005, Dublin, Ireland},
pages = {97--102},
crossref = {DBLP:conf/cbms/2005},
keywords = {Classification, Clustering, Data Mining, Decision Support Systems, Glaucoma, Health Data Analytics, Optic Nerve},
pubstate = {published},
tppubtype = {inproceedings}
}
Qingshuang Jiang; Syed Sibte Raza Abidi
From Clusters to Rules: A Hybrid Framework for Generalized Symbolic Rule Induction Proceedings Article
In: Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers, pp. 219–228, 2005.
Links | BibTeX | Tags: Data Mining, Health Data Analytics
@inproceedings{DBLP:conf/icmlc/JiangA05,
title = {From Clusters to Rules: A Hybrid Framework for Generalized Symbolic Rule Induction},
author = {Qingshuang Jiang and Syed Sibte Raza Abidi},
url = {http://dx.doi.org/10.1007/11739685_23},
year = {2005},
date = {2005-01-01},
booktitle = {Advances in Machine Learning and Cybernetics, 4th International Conference, ICMLC 2005, Guangzhou, China, August 18-21, 2005, Revised Selected Papers},
pages = {219--228},
crossref = {DBLP:conf/icmlc/2005},
keywords = {Data Mining, Health Data Analytics},
pubstate = {published},
tppubtype = {inproceedings}
}
2004
Andrew R. McIntyre; Malcolm I. Heywood; Paul Habib Artes; Syed Sibte Raza Abidi
Toward Glaucoma Classification with Moment Methods Proceedings Article
In: 1st Canadian Conference on Computer and Robot Vision (CRV 2004) 17-19 May 2004, London, Ontario, Canada, pp. 265–272, 2004.
Links | BibTeX | Tags: Data Mining, Glaucoma, Health Data Analytics
@inproceedings{DBLP:conf/crv/McIntyreHAA04,
title = {Toward Glaucoma Classification with Moment Methods},
author = {Andrew R. McIntyre and Malcolm I. Heywood and Paul Habib Artes and Syed Sibte Raza Abidi},
url = {http://doi.ieeecomputersociety.org/10.1109/CCCRV.2004.1301454},
year = {2004},
date = {2004-01-01},
booktitle = {1st Canadian Conference on Computer and Robot Vision (CRV 2004) 17-19 May 2004, London, Ontario, Canada},
pages = {265--272},
crossref = {DBLP:conf/crv/2004},
keywords = {Data Mining, Glaucoma, Health Data Analytics},
pubstate = {published},
tppubtype = {inproceedings}
}
2002
Syed Sibte Raza Abidi; Selvakumar Manickam
In: International Journal of Medical Informatics, vol. 68, no. 1-3, pp. 187–203, 2002.
Links | BibTeX | Tags: Case Based Reasoning, Electronic Medical Record, Health Data Analytics
@article{DBLP:journals/ijmi/AbidiM02,
title = {Leveraging XML-based Electronic Medical Records to Extract Experiential Clinical Knowledge: An Automated Approach to Generate Cases for Medical Case-based Reasoning Systems},
author = {Syed Sibte Raza Abidi and Selvakumar Manickam},
url = {http://dx.doi.org/10.1016/S1386-5056(02)00076-X},
year = {2002},
date = {2002-01-01},
journal = {International Journal of Medical Informatics},
volume = {68},
number = {1-3},
pages = {187--203},
keywords = {Case Based Reasoning, Electronic Medical Record, Health Data Analytics},
pubstate = {published},
tppubtype = {article}
}
Syed Sibte Raza Abidi; Kok Meng Hoe
Symbolic Exposition of Medical Data-Sets: A Data Mining Workbench to Inductively Derive Data-Defining Symbolic Rules Proceedings Article
In: 15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 4-7 June 2002, Maribor, Slovenia, pp. 123–128, 2002.
Links | BibTeX | Tags: Data Mining, Health Data Analytics
@inproceedings{DBLP:conf/cbms/AbidiH02,
title = {Symbolic Exposition of Medical Data-Sets: A Data Mining Workbench to Inductively Derive Data-Defining Symbolic Rules},
author = {Syed Sibte Raza Abidi and Kok Meng Hoe},
url = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2002.1011365},
year = {2002},
date = {2002-01-01},
booktitle = {15th IEEE Symposium on Computer-Based Medical Systems (CBMS 2002), 4-7 June 2002, Maribor, Slovenia},
pages = {123--128},
crossref = {DBLP:conf/cbms/2002},
keywords = {Data Mining, Health Data Analytics},
pubstate = {published},
tppubtype = {inproceedings}
}
2001
Syed Sibte Raza Abidi
Knowledge Management in Healthcare: Towards 'Knowledge-Driven' Decision-Support Services Journal Article
In: International Journal of Medical Informatics, vol. 63, no. 1-2, pp. 5–18, 2001.
Links | BibTeX | Tags: Data Mining, Health Data Analytics, Knowledge Management
@article{DBLP:journals/ijmi/Abidi01,
title = {Knowledge Management in Healthcare: Towards 'Knowledge-Driven' Decision-Support Services},
author = {Syed Sibte Raza Abidi},
url = {http://dx.doi.org/10.1016/S1386-5056(01)00167-8},
year = {2001},
date = {2001-01-01},
journal = {International Journal of Medical Informatics},
volume = {63},
number = {1-2},
pages = {5--18},
keywords = {Data Mining, Health Data Analytics, Knowledge Management},
pubstate = {published},
tppubtype = {article}
}
Syed Sibte Raza Abidi; Kok Meng Hoe; Alwyn Goh
Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules Proceedings Article
In: Advances in Intelligent Data Analysis, 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001, Proceedings, pp. 248–257, 2001.
Links | BibTeX | Tags: Clustering, Data Mining, Health Data Analytics
@inproceedings{DBLP:conf/ida/AbidiHG01,
title = {Analyzing Data Clusters: A Rough Sets Approach to Extract Cluster-Defining Symbolic Rules},
author = {Syed Sibte Raza Abidi and Kok Meng Hoe and Alwyn Goh},
url = {http://dx.doi.org/10.1007/3-540-44816-0_25},
year = {2001},
date = {2001-01-01},
booktitle = {Advances in Intelligent Data Analysis, 4th International Conference, IDA 2001, Cascais, Portugal, September 13-15, 2001, Proceedings},
pages = {248--257},
crossref = {DBLP:conf/ida/2001},
keywords = {Clustering, Data Mining, Health Data Analytics},
pubstate = {published},
tppubtype = {inproceedings}
}
1998
Syed Sibte Raza Abidi; Alwyn Goh
Applying Knowledge Discovery to Predict Infectious Disease Epidemics Proceedings Article
In: PRICAI'98, Topics in Artificial Intelligence, 5th Pacific Rim International Conference on Artificial Intelligence, Singapore, November 22-27, 1998, Proceedings, pp. 170–181, 1998.
Links | BibTeX | Tags: Clinical Decision Support Systems, Data Mining, Health Data Analytics, Knowledge Based Systems
@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}
}