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

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

Abstract 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 Medica...

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Bibliographic Details
Main Authors: Jingyue Zhang, Xudong Cui, Chong Yang, Diansheng Zhong, Yinjuan Sun, Xiaoxiong Yue, Gaoshuang Lan, Linlin Zhang, Liangfu Lu, Hengjie Yuan
Format: Article
Language:English
Published: Wiley 2023-09-01
Series:Cancer Medicine
Subjects:
chemotherapy‐induced nausea and vomiting
deep forest
highly emetogenic chemotherapy
kidney function
predictive model
risk factors
Online Access:https://doi.org/10.1002/cam4.6428

Internet

https://doi.org/10.1002/cam4.6428

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