Predictive models for clinical decision making: Deep dives in practical machine learning.

ABSTRACT: The deployment of machine learning for tasks relevant to complementing standard of care and advancing tools for precision health has gained much attention in the clinical community, thus meriting further investigations into its broader use. In an introduction to predictive modelling using machine learning, we conducted a review of the recent literature that explains standard taxonomies, terminology and central concepts to a broad clinical readership. Articles aimed at readers with little or no prior experience of commonly used methods or typical workflows were summarised and key references are highlighted. Continual interdisciplinary developments in data science, biostatistics and epidemiology also motivated us to further discuss emerging topics in predictive and data-driven (hypothesis-le

SUBMITTER: Eloranta S 

PROVIDER: S-EPMC9544754 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature