Drug Interaction Machine Learning
Drug Interaction Machine Learning is a computational methodology that employs machine learning techniques to predict, analyze, or characterize interactions between drugs by modeling pharmacological, biological, or clinical data within the domain of drug-drug interaction informatics.
101
Publications
5.8K
Citations
440
Authors
224
Institutions
Publications per year
2017–2026
84
101
A multimodal deep learning framework for predicting drug–drug interaction events
Yifan Deng, Xinran Xu, Yang Qiu et al. · Bioinformatics · 2020 · 435 citations
Feixiong Cheng, Zhongming Zhao · Journal of the American Medical Informatics Association · 2014 · 382 citations · Full text
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224

Chinese Academy of Sciences
Beijing, China
7 h-index
15 publications
998 citations

Shanghai Maritime University
Shanghai, China
5 h-index
10 publications
471 citations

Harbin Institute of Technology
Harbin, China
4 h-index
8 publications
1.3K citations
Shanghai Institutes for Biological Sciences
Shanghai, China
4 h-index
9 publications
580 citations

Huazhong Agricultural University
Wuhan, China
4 h-index
17 publications
3.6K citations
University of Michigan
Ann Arbor, United States
4 h-index
16 publications
529 citations
Shanghai Institute of Materia Medica
Pudong, China
4 h-index
5 publications
269 citations
Taipei Medical University
Taipei, Taiwan
4 h-index
13 publications
1K citations
1–8 of 224
9 publications · 451 citations
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6 publications · 550 citations
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6 publications · 486 citations
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3 publications · 177 citations
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3 publications · 72 citations
3
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