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Identification Pharmacodynamic Interactions of Active Compounds of Diabetes Mellitus Type 2 Herbal Plants Using the Random Forest Method
Author(s) -
M. Aiman Askari,
Farit Mochamad Afendi,
Anwar Fitrianto,
Sony Hartono Wijaya
Publication year - 2022
Publication title -
indonesian journal of statistics and applications
Language(s) - English
Resource type - Journals
ISSN - 2599-0802
DOI - 10.29244/ijsa.v6i2p245-260
Subject(s) - pharmacodynamics , identification (biology) , drug , medicinal plants , pharmacology , computational biology , drug discovery , random forest , chemistry , medicine , traditional medicine , biology , bioinformatics , computer science , pharmacokinetics , machine learning , botany

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