Machine-Aided Self-diagnostic Prediction Models for Polycystic Ovary Syndrome: Observational Study
BackgroundArtificial intelligence and digital health care have substantially advanced to improve and enhance medical diagnosis and treatment during the prolonged period of the COVID-19 global pandemic. In this study, we discuss the development of prediction models for the sel...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2022-03-01
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| Series: | JMIR Formative Research |
| Online Access: | https://formative.jmir.org/2022/3/e29967 |