Data mining process for predicting diabetes mellitus based model about other chronic diseases: a case study of the northwestern part of Nigeria-Reference-Cited by-同舟云学术

Data mining process for predicting diabetes mellitus based model about other chronic diseases: a case study of the northwestern part of Nigeria

Published:2019-07-09 Issue:4 Volume:6 Page:98-102
ISSN:2053-3713
Container-title:Healthcare Technology Letters
language:en
Short-container-title:Healthcare Technology Letters

Author:

Uba Muhammad Musa¹,Jiadong Ren¹,Sohail Muhammad Noman¹^ORCID,Irshad Muhammad¹,Yu Kaifei²

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.

1. Uba M.M. Asitibo O.E. Sohail M.N.: ‘Application of logistic regression modelling using fractional polynomials of grouped continuous covariates’.Nigerian Statistical Society 1st Int. Conf. Nigeria 2017 vol. 1 pp.144–147

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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