Application of Artificial Intelligence in Drug-Drug Interactions Prediction: A Review.

Zhang, Yuanyuan; Deng, Zengqian; Xu, Xiaoyu; Feng, Yinfei; Junliang, Shang

Zhang, Yuanyuan; Deng, Zengqian; Xu, Xiaoyu; Feng, Yinfei; Junliang, Shang.

Affiliation

Zhang Y; School of Information and Control Engineering, Qingdao University of Technology, Qingdao,266000,China.
Deng Z; School of Information and Control Engineering, Qingdao University of Technology, Qingdao,266000,China.
Xu X; School of Information and Control Engineering, Qingdao University of Technology, Qingdao,266000,China.
Feng Y; School of Information and Control Engineering, Qingdao University of Technology, Qingdao,266000,China.
Junliang S; School of Information Science and Engineering, Qufu Normal University, Rizhao, 276800, China.

J Chem Inf Model ; 64(7): 2158-2173, 2024 Apr 08.

Article in En | MEDLINE | ID: mdl-37458400

Subject(s)

Artificial Intelligence; Drug-Related Side Effects and Adverse Reactions; Humans; Drug Interactions; Machine Learning; Databases, Factual

Key words

Adverse effects; Artificial intelligence (AI); Clinical decision-making; DDI prediction; Drug−drug interactions (DDI); Patient outcomes

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Drug-Related Side Effects and Adverse Reactions Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: J Chem Inf Model Year: 2024 Document type: Article

Fulltext

XML

PubMed Links

Search on Google