Personalized anti-tumor drug efficacy prediction based on clinical data

Personalized anti-tumor drug efficacy prediction based on clinical data

Anti-tumor drug efficacy prediction poses an unprecedented challenge to realizing personalized medicine. This paper proposes to predict personalized anti-tumor drug efficacy based on clinical data. Specifically, we encode the clinical text as numeric vectors featured with hidden topics for patients...

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Bibliographic Details
Main Authors: Xinping Xie, Dandan Li, Yangyang Pei, Weiwei Zhu, Xiaodong Du, Xiaodong Jiang, Lei Zhang, Hong-Qiang Wang
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Drug efficacy prediction
Clinical data
Text mining
Clinical decision-making
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024033310

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