2024
DOI: 10.1200/cci.23.00264
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Using Machine Learning to Predict Unplanned Hospital Utilization and Chemotherapy Management From Patient-Reported Outcome Measures

Zuzanna Wójcik,
Vania Dimitrova,
Lorraine Warrington
et al.

Abstract: PURPOSE Adverse effects of chemotherapy often require hospital admissions or treatment management. Identifying factors contributing to unplanned hospital utilization may improve health care quality and patients' well-being. This study aimed to assess if patient-reported outcome measures (PROMs) improve performance of machine learning (ML) models predicting hospital admissions, triage events (contacting helpline or attending hospital), and changes to chemotherapy. MATERIALS AND METHODS Clinical trial data were … Show more

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References 46 publications
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