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A machine learning framework supporting prospective clinical decisions applied to risk prediction in oncology
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 for a nea...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9380664/ https://www.ncbi.nlm.nih.gov/pubmed/35974092 http://dx.doi.org/10.1038/s41746-022-00660-3 |