Enhancing Thrombophilia Risk Prediction Through AI-Based Methodologies.
Thrombophilia, a predisposition to thrombosis, poses significant diagnostic challenges due to its multi-factorial nature, encompassing genetic and acquired factors. Current diagnostic paradigms, primarily relying on a combination of clinical assessment and targeted laboratory tests, often fail to ca...
| Publicado en: | Studies in Health Technology & Informatics Vol. 314; pp. 125 - 127 |
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| Autores principales: | , , |
| Formato: | proceedings research Journal Article |
| Publicado: |
Sage Publications Inc.
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |