Machine learning for prediction of 30-day mortality in patients with advanced cancer: comparing pan-cancer and single-cancer models
Background: Systemic anticancer therapy (SACT) near the end of life (EOL) reduces the quality of the patient’s remaining life without clinical benefit. Studies investigating machine learning models for predicting cancer mortality to guide treatment decisions have primarily focused on specific types...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | ESMO Real World Data and Digital Oncology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949820125000359 |
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