Data mining process for predicting diabetes mellitus based model about other chronic diseases: a case study of the northwestern part of Nigeria
Author:
Affiliation:
1. Department of Information Sciences and Technology Yanshan University Qinhuangdao Hebei 066000 People's Republic of China
2. Department of Electrical Engineering and Control Yanshan University Qinhuangdao Hebei 066000 People's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Health Information Management,Health Informatics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/htl.2018.5111
Reference27 articles.
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2. Predicting the survival or failure of click-and-mortar corporations: A knowledge discovery approach
3. Abidi S.S.R. Hoe M.K.: ‘Symbolic exposition of medical datasets: a data‐mining workbench to inductively derive data‐defining symbolic rules’.Proc. of 15th IEEE Symp. on Computer‐Based Medical Systems (CBMS2002) Slovenia 2002 pp.1–6
4. Ilayaraja M. Meyappen T.: ‘Mining medical data to identify frequent diseases using apriori algorithm’.IEEE Int. Conf. on Pattern Recognition Informatics and Mobile Engineering India 2013 pp.1–6
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