Publications

@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}

}

@article{DBLP:journals/titb/StewartA12,

title = {An Infobutton For Web 2.0 Clinical Discussions: The Knowledge Linkage Framework},

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

url = {http://dx.doi.org/10.1109/TITB.2011.2177097},

year  = {2012},

date = {2012-01-01},

journal = {IEEE Transactions on Information Technology in Biomedicine},

volume = {16},

number = {1},

pages = {129--135},

keywords = {Health Informatics, Info-Button, Knowledge Linkage, Knowledge Translation, Web 2.0},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/hij/Curran-SmithAF05,

title = {Towards a Collaborative Learning Environment for Children's Pain Management: Leveraging an Online Discussion Forum},

author = {Janet Curran-Smith and Syed Sibte Raza Abidi and Paula Forgeron},

url = {http://dx.doi.org/10.1177/1460458205050682},

year  = {2005},

date = {2005-01-01},

journal = {Health Informatics Journal},

volume = {11},

number = {1},

pages = {19--31},

keywords = {Knowledge Linkage, Knowledge Management, Pediatric Pain},

pubstate = {published},

tppubtype = {article}

}

@article{DBLP:journals/hij/AbidiKM05,

title = {Augmenting GEM-Encoded Clinical Practice Guidelines with Relevant Best Evidence Autonomously Retrieved from MEDLINE},

author = {Syed Sibte Raza Abidi and Michael Kershaw and Evangelos Milios},

url = {http://dx.doi.org/10.1177/1460458205050684},

year  = {2005},

date = {2005-01-01},

journal = {Health Informatics Journal},

volume = {11},

number = {2},

pages = {95--110},

keywords = {Clinical Practice Guidelines, Knowledge Linkage},

pubstate = {published},

tppubtype = {article}

}