Journal ArticleDOI
A four stage approach for ontology-based health information system design
Craig E. Kuziemsky,Francis Lau +1 more
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The four stage approach illustrated in this paper is useful for designing and implementing an ontology as the basis for a HIS and extends existing ontology development methodologies by providing an empirical basis for theory incorporated into ontology design.About:
This article is published in Artificial Intelligence in Medicine.The article was published on 2010-11-01. It has received 65 citations till now. The article focuses on the topics: Ontology-based data integration & Upper ontology.read more
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Towards an ontology for data quality in integrated chronic disease management: A realist review of the literature
Siaw-Teng Liaw,Alireza Rahimi,Alireza Rahimi,Pradeep Ray,Jane Taggart,Sarah Dennis,S de Lusignan,Bin Jalaludin,A.E.T. Yeo,Amir Talaei-Khoei +9 more
TL;DR: This work advocates moving to ontology-based design of information systems to enable more reliable use of routine data to measure health mechanisms and impacts and identifies mechanisms to manage DQ in integrated CDM.
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A three stage ontology-driven solution to provide personalized care to chronic patients at home.
TL;DR: The proposed ontology provides an understandable and simple solution to address integration and personalized care challenges in home-based telemonitoring scenarios and contributes to enhance the understanding, re-usability and transferability of the solution.
Journal ArticleDOI
Validating an ontology-based algorithm to identify patients with type 2 diabetes mellitus in electronic health records.
TL;DR: This DMO-based algorithm is sufficiently accurate to support a semantic approach, using the RFV, Rx and Path to define patients with T2DM from EHR data, however, the accuracy can be compromised by incomplete or incorrect data.
Journal ArticleDOI
Investigating an ontology-based approach for Big Data analysis of inter-dependent medical and oral health conditions
TL;DR: The following research investigates the development and application of ontology and rules to build an evidence-based, reusable and cross-domain knowledge base for collaborative patient care.
Journal ArticleDOI
An ontology-based approach to patient follow-up assessment for continuous and personalized chronic disease management.
TL;DR: An ontology-based framework to integrate patient data, medical domain knowledge, and patient assessment criteria for chronic disease patient follow-up assessments is proposed and provides a generic approach to knowledge sharing and reuse for patient-centered chronic disease management.
References
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Handbook of Qualitative Research
TL;DR: The discipline and practice of qualitative research have been extensively studied in the literature as discussed by the authors, including the work of Denzin and Denzin, and their history in sociology and anthropology, as well as the role of women in qualitative research.
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Basics of Qualitative Research
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Basics of qualitative research
TL;DR: The basics of qualitative research can be found in this article, where the authors introduce the concept of basic qualitative research (BQR) and basic of qualitative analysis (QA).
Journal ArticleDOI
The Gene Ontology (GO) database and informatics resource.
Midori A. Harris,Jennifer I. Clark,Ireland A,Jane Lomax,Michael Ashburner,Michael Ashburner,R. Foulger,R. Foulger,Karen Eilbeck,Karen Eilbeck,Suzanna E. Lewis,Suzanna E. Lewis,B. Marshall,B. Marshall,Christopher J. Mungall,Christopher J. Mungall,J. Richter,J. Richter,Gerald M. Rubin,Gerald M. Rubin,Judith A. Blake,Carol J. Bult,Dolan M,Drabkin H,Janan T. Eppig,Hill Dp,L. Ni,Ringwald M,Rama Balakrishnan,Rama Balakrishnan,J. M. Cherry,J. M. Cherry,Karen R. Christie,Karen R. Christie,Maria C. Costanzo,Maria C. Costanzo,Selina S. Dwight,Selina S. Dwight,Stacia R. Engel,Stacia R. Engel,Dianna G. Fisk,Dianna G. Fisk,Jodi E. Hirschman,Jodi E. Hirschman,Eurie L. Hong,Eurie L. Hong,Robert S. Nash,Robert S. Nash,Anand Sethuraman,Anand Sethuraman,Chandra L. Theesfeld,Chandra L. Theesfeld,David Botstein,David Botstein,Kara Dolinski,Kara Dolinski,Becket Feierbach,Becket Feierbach,Tanya Z. Berardini,Tanya Z. Berardini,S. Mundodi,S. Mundodi,Seung Y. Rhee,Seung Y. Rhee,Rolf Apweiler,Daniel Barrell,Camon E,E. Dimmer,Lee,Rex L. Chisholm,Pascale Gaudet,Pascale Gaudet,Warren A. Kibbe,Warren A. Kibbe,Ranjana Kishore,Ranjana Kishore,Erich M. Schwarz,Erich M. Schwarz,Paul W. Sternberg,Paul W. Sternberg,M. Gwinn,Hannick L,Wortman J,Matthew Berriman,Matthew Berriman,Wood,Wood,de la Cruz N,de la Cruz N,Peter J. Tonellato,Peter J. Tonellato,Pankaj Jaiswal,Pankaj Jaiswal,Seigfried T,Seigfried T,White R,White R +96 more
TL;DR: The Gene Ontology (GO) project as discussed by the authors provides structured, controlled vocabularies and classifications that cover several domains of molecular and cellular biology and are freely available for community use in the annotation of genes, gene products and sequences.