Machine Learning and Health Science Research: Tutorial

• DOI: 10.2196/50890
• Publication Date: 2023-12-21T07:24:08Z
• Authors: Hunyong Cho; Jane She; Daniel De Marchi; Helal El-Zaatari; Edward L Barnes; Anna R Kahkoska; Michael R Kosorok; Arti V Virkud
• Keywords: Preprint; Health science; Learning Sciences

Machine learning (ML) has seen impressive growth in health science research due to its capacity for handling complex data perform a range of tasks, including unsupervised learning, supervised and reinforcement learning. To aid researchers understanding the strengths limitations ML facilitate integration into their studies, we present here guideline integrating an analysis through structured framework, covering steps from framing question study design techniques specialized types.