Open AccessAn efficient stacking based NSGA-II approach for predicting type 2 diabetes
Author(s) -
Ratna Patil,
Shitalkumar Rawandale,
Nirmalkumar Rawandale,
Ujjwala S. Rawandale,
Shrishti Patil
Publication year - 2023
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v13i1.pp1015-1023
Subject(s) - stacking , random forest , boosting (machine learning) , decision tree , computer science , ensemble learning , sorting , diabetes mellitus , machine learning , gradient boosting , artificial intelligence , disease , data mining , medicine , algorithm , physics , nuclear magnetic resonance , endocrinology