A deep learning‐based interpretable decision tool for predicting high risk of chemotherapy‐induced nausea and vomiting in cancer patients prescribed highly emetogenic chemotherapy

OBJECTIVE: This study aims to develop a risk prediction model for chemotherapy‐induced nausea and vomiting (CINV) in cancer patients receiving highly emetogenic chemotherapy (HEC) and identify the variables that have the most significant impact on prediction. METHODS: Data from Tianjin Medical Unive...

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Detalles Bibliográficos
Autores principales: Zhang, Jingyue, Cui, Xudong, Yang, Chong, Zhong, Diansheng, Sun, Yinjuan, Yue, Xiaoxiong, Lan, Gaoshuang, Zhang, Linlin, Lu, Liangfu, Yuan, Hengjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
RESEARCH ARTICLES
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10524079/
https://www.ncbi.nlm.nih.gov/pubmed/37609808
http://dx.doi.org/10.1002/cam4.6428

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10524079/
https://www.ncbi.nlm.nih.gov/pubmed/37609808
http://dx.doi.org/10.1002/cam4.6428

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