A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology
Abstract We present a general framework for developing a machine learning (ML) tool that supports clinician assessment of patient risk using electronic health record-derived real-world data and apply the framework to a quality improvement use case in an oncology setting to identify patients at risk...
| Main Authors: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
Nature Portfolio
2022-08-01
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| Series: | npj Digital Medicine |
| Acceso en liña: | https://doi.org/10.1038/s41746-022-00660-3 |