Discovering hidden knowledge through auditing clinical diagnostic knowledge bases

Author:

Lenert Matthew C.,Walsh Colin G.,Miller Randolph A.

Funder

National Library of Medicine

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference53 articles.

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2. PheWAS: Demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations;Denny;Bioinformatics,2010

3. J.C. Prather, D.F. Lobach, L.K. Goodwin, J.W. Hales, M.L. Hage, W.E. Hammond, Medical data mining: knowledge discovery in a clinical data warehouse, in: Proc AMIA Annu Fall Symp., 1997, pp. 101–105. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233405/.

4. A hybrid data mining model to predict coronary artery disease cases using non-invasive clinical data;Verma;J. Med. Syst.,2016

5. Medical diagnostic decision support systems–past, present, and future: a threaded bibliography and brief commentary;Miller;J. Am. Med. Informat. Assoc.,1994

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