Therapeutic drug combinations against COVID-19 obtained by employing a collaborative filtering method.

Yao, Ruiyuan; Yang, Fan; Liu, Jianing; Jiao, Qiang; Yu, Hong; Nie, Xiushan; Li, Hongkai; Wang, Xin; Xue, Fuzhong

Yao, Ruiyuan; Yang, Fan; Liu, Jianing; Jiao, Qiang; Yu, Hong; Nie, Xiushan; Li, Hongkai; Wang, Xin; Xue, Fuzhong.

Afiliación

Yao R; Department of the Pharmacology of Traditional Chinese Medical Formulae, Shandong University of Chinese Medicine, China.
Yang F; School of Public Health, Cheeloo College of Medicine, Shandong University, China.
Liu J; School of Public Health, Cheeloo College of Medicine, Shandong University, China.
Jiao Q; School of Information Science and Technology, Qingdao University of Science and Technology, China.
Yu H; School of Information Science and Technology, Qingdao University of Science and Technology, China.
Nie X; Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, China.
Li H; School of Computer Science and Technology, Shandong Jianzhu University, China.
Wang X; School of Public Health, Cheeloo College of Medicine, Shandong University, China.
Xue F; Department of the Pharmacology of Traditional Chinese Medical Formulae, Shandong University of Chinese Medicine, China.

Heliyon ; 9(3): e14023, 2023 Mar.

Article en En | MEDLINE | ID: mdl-36873530

Palabras clave

COVID-19; Collaborative filtering; Drug combination; SARS-CoV-2; Traditional Chinese medicine

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Texto completo: 1 Bases de datos: MEDLINE Medicinas Tradicionales: Medicinas_tradicionales_de_asia / Medicina_china Idioma: En Revista: Heliyon Año: 2023 Tipo del documento: Article País de afiliación: China

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