KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features

Author:

Qi Huamei,Song Xiaomeng,Liu Shengzong,Zhang Yan,Wong Kelvin K.L.

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference30 articles.

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2. Pathophysiology of type 1 and type 2 diabetes mellitus: a 90-year perspective;Zaccardi;Postgrad. Med. J.,2016

3. Prevalence of complications in IDDM by sex and duration: Pittsburgh Epidemiology of Diabetes Complications Study II;Orchard;Diabetes,1990

4. Global trends in diabetes complications: a review of current evidence;Harding;Diabetologia,2019

5. Machine learning technique to prognosis diabetes disease: random forest classifier approach;Palimkar,2022

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