Machine Learning and Health Science Research: Tutorial.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 38289657.
- Also identified by DOI 10.2196/50890 and PMC identifier 10865203.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Machine learning (ML) has seen impressive growth in health science research due to its capacity for handling complex data to perform a range of tasks, including unsupervised learning, supervised learning, and reinforcement learning. To aid health science researchers in understanding the strengths and limitations of ML and to facilitate its integration into their studies, we present here a guideline for integrating ML into an analysis through a structured framework, covering steps from framing a research question to study design and analysis techniques for specialized data types.
Medical subject headings
- Machine Learning
- Reinforcement, Psychology