Risk prediction of chronic diseases with a two-stage semi-supervised clustering method

Author:

Mao ZaixingORCID,Fukuma YasufumiORCID,Tsukada Hisashi,Wada Satoshi

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Epidemiology

Reference20 articles.

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2. Reduction of overfitting in diabetes prediction using deep learning neural network;Ashiquzzaman,2018

3. Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [2011-2012] [https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/default.aspx?BeginYear=2011].

4. Centers for Disease Control and Prevention (CDC). National Center for Health Statistics (NCHS). National Health and Nutrition Examination Survey Data. Hyattsville, MD: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, [2013-2014] [https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/default.aspx?BeginYear=2013].

5. Retinopathy in diabetes;Fong;Diabetes Care,2004

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