Open AccessThe comparison of machine learning methods for prediction study of type 2 diabetes mellitus’s drug design
Author(s) -
Nadya Asanul Husna,
Alhadi Bustamam,
Arry Yanuar,
Devvi Sarwinda,
Oky Hermansyah
Publication year - 2020
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/5.0024161
Subject(s) - quantitative structure–activity relationship , artificial neural network , support vector machine , artificial intelligence , computer science , machine learning , construct (python library) , type 2 diabetes mellitus , boosting (machine learning) , diabetes mellitus , medicine , endocrinology , programming language
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