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: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
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| Series: | Journal of Patient-Reported Outcomes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41687-024-00808-7 |
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