NDLI: Predictive modeling of cardiovascular complications in incident hemodialysis patients

Content Provider	IEEE Xplore Digital Library
Author	Ion Titapiccolo, J. Ferrario, M. Barbieri, C. Marcelli, D. Mari, F. Gatti, E. Cerutti, S. Smyth, P. Signorini, M.G.
Copyright Year	2012
Description	Author affiliation: Univ. of California, Irvine, Irvine, CA, USA (Smyth, P.) \|\| Dept. of Bioeng., Politec. di Milano, Milan, Italy (Ion Titapiccolo, J.; Ferrario, M.; Cerutti, S.; Signorini, M.G.)
Abstract	The administration of hemodialysis (HD) treatment leads to the continuous collection of a vast quantity of medical data. Many variables related to the patient health status, to the treatment, and to dialyzer settings can be recorded and stored at each treatment session. In this study a dataset of 42 variables and 1526 patients extracted from the Fresenius Medical Care database EuCliD was used to develop and apply a random forest predictive model for the prediction of cardiovascular events in the first year of HD treatment. A ridge-lasso logistic regression algorithm was then applied to the subset of variables mostly involved in the prediction model to get insights in the mechanisms underlying the incidence of cardiovascular complications in this high risk population of patients.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	3943
Ending Page	3946
File Size	568516
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6346829
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	High definition video Blood Diseases Databases Sociology Statistics Logistics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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