Samina Abidi

@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{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}

}