Using Machine Learning Approaches on Dynamic Patient-Reported Outcomes to Cluster Cancer Treatment-Related Symptoms

Using Machine Learning Approaches on Dynamic Patient-Reported Outcomes to Cluster Cancer Treatment-Related Symptoms

In patients undergoing systemic treatment for cancer, symptom tracking via electronic patient-reported outcomes (ePROs) has been used to optimize communication and monitoring, and facilitate the early detection of adverse effects and to compare the side effects of similar drugs. We aimed to examine...

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Bibliographic Details
Main Authors: Nora Asper, Hans Friedrich Witschel, Louise von Stockar, Emanuele Laurenzi, Hans Christian Kolberg, Marcus Vetter, Sven Roth, Gerd Kullak-Ublick, Andreas Trojan
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Current Oncology
Subjects:
electronic patient-reported outcome (ePRO)
symptom cluster
cancer
eHealth
real world evidence
adherence
Online Access:https://www.mdpi.com/1718-7729/32/6/334
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