Using machine learning to predict individual patient toxicities from cancer treatments.

Katherine Marie ColeMark ClemonsSharon F McGeeMashari AlzahraniGail LarocqueFiona MacDonaldMichelle LiuGregory R PondLucy MosqueraLisa VandermeerBrian HuttonArdelle PiperRicardo FernandesKhaled El Emam

Published in: Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer (2022)

Machine learning is a unique tool for predicting severe VMS. The use of ML to assess other treatment-related toxicities and their management requires further study.

Keyphrases

machine learning
papillary thyroid
case report
early onset
squamous cell
big data
deep learning
lymph node metastasis
combination therapy
replacement therapy