Machine learning for risk factor identification and cardiovascular mortality prediction among patients with osteoporosis
Risk prediction tools are increasingly popular aids in clinical decision-making. However, the underlying models are often trained on data from general patient cohorts and may not be representative of and suitable for use with targeted patient groups in actual clinical practice, such as in the case o...
| Hauptverfasser: | , , , |
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| Format: | Conference item |
| Sprache: | English |
| Veröffentlicht: |
IEEE
2023
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