Comparative assessment of statistical and machine learning techniques towards estimating the risk of developing type 2 diabetes and cardiovascular complications
Author:
Affiliation:
1. Faculty of Electrical and Computer Engineering; National Technical University of Athens; Athens Greece
2. Diabetes Center, 2nd Department of Internal Medicine, Medical School; University of Athens; Athens Greece
Funder
Hellenic State Scholarships Foundation
Publisher
Wiley
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1111/exsy.12214/fullpdf
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3. Anirudha , R. C. Kannan , R. Patil N. 2014 Genetic algorithm based wrapper feature selection on hybrid prediction model for analysis of high dimensional data, presented at 9th international conference on industrial and information systems
4. Predicting risk of type 2 diabetes mellitus with genetic risk models on the bases of established genome-wide association markers: A systematic review;Bao;American Journal of Epidemiology,2013
5. Error-correction learning for artificial neural networks using the Bayesian paradigm. Application to automated medical diagnosis;Belciug;Biomedical Informatics,2014
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