Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality
Abstract Purpose To critically examine the current state of machine learning (ML) models including patient-reported outcome measure (PROM) scores in cancer research, by investigating the reporting quality of currently available studies and proposing areas of improvement for future use of ML in the f...
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Main Authors: | Daniela Krepper (Author), Matteo Cesari (Author), Niclas J. Hubel (Author), Philipp Zelger (Author), Monika J. Sztankay (Author) |
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Format: | Book |
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SpringerOpen,
2024-11-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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