Building the Model: Challenges and Considerations of Developing and Implementing Machine Learning Tools for Clinical Laboratory Medicine Practice.
* Context.--Machine learning (ML) allows for the analysis of massive quantities of high-dimensional clinical laboratory data, thereby revealing complex patterns and trends. Thus, ML can potentially improve the efficiency of clinical data interpretation and the practice of laboratory medicine. Howeve...
| Publicado en: | Archives of Pathology & Laboratory Medicine Vol. 147; no. 7; pp. 826 - 837 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas pictorial review tables/charts Journal Article |
| Publicado: |
College of American Pathologists
Jul2023
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| Acceso en línea: | Ver este registro en EBSCOhost |