Classification and predictive models using supervised machine learning: A conceptual review.
Supervised machine learning models (SMLMs) are likely to be a prevalent approach in the literature on medical machine learning. These models have considerable potential to improve clinical decision-making through enhanced prediction and classification. In this review, we present an overview of SMLMs...
| Publicado en: | Southern African Journal of Critical Care Vol. 41; no. 1; pp. 2 - 9 |
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| Autores principales: | , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
South African Medical Association
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | Supervised machine learning models (SMLMs) are likely to be a prevalent approach in the literature on medical machine learning. These models have considerable potential to improve clinical decision-making through enhanced prediction and classification. In this review, we present an overview of SMLMs. We provide a discussion of the conceptual domains relevant to machine learning, model development, validation, and model explanation. This discussion is accompanied by clinical examples to illustrate key concepts. |
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