William Van Woensel

@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{OSullivan2021,

title = {Towards a framework for comparing functionalities of multimorbidity clinical decision support: A literature-based feature set and benchmark cases},

author = {D O'Sullivan and W Van Woensel and S Wilk and S W Tu and W Michalowski and S Abidi and M Carrier and R Edry and I Hochberg and S Kingwell and K Kogan and M Michalowski and H O'Sullivan and M Peleg},

year  = {2021},

date = {2021-10-30},

urldate = {2021-01-01},

booktitle = {AMIA 2021 Annual Symposium},

address = {San Diego, CA},

keywords = {Clinical Decision Support Systems, Comorbidity},

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{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{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{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}

}