ArticleThe Southern African journal of critical care : the official journal of the Critical Care Society2025
Classification and predictive models using supervised machine learning: A conceptual review.
Article in The Southern African journal of critical care : the official journal of the Critical Care Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Discovery-Driven Plasma Proteomics Identifies a Multi-Protein Signature for Amyloid PET Positivity: A Machine Learning Analysis of the Bio-Hermes Cohort.International journal of molecular sciences · 2026Article
- Development and validation of a prognostic model of postnatal circulation in fetuses with pulmonary atresia or critical pulmonary stenosis with intact ventricular septum: protocol for an observational cohort study with prospective validation.BMC pregnancy and childbirth · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: 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. Contribution of the study: This conceptual review provides an overview and guide to the interpretation of SMLMs in the medical literature.
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Registered trials
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