Machine Learning and Health Science Research: Tutorial

• Egile Nagusiak: Hunyong Cho (Egilea), Jane She (Egilea), Daniel De Marchi (Egilea), Helal El-Zaatari (Egilea), Edward L Barnes (Egilea), Anna R Kahkoska (Egilea), Michael R Kosorok (Egilea), Arti V Virkud (Egilea)
• Formatua: Liburua
• Argitaratua: JMIR Publications, 2024-01-01T00:00:00Z.
• Gaiak: article
• Sarrera elektronikoa: Connect to this object online.

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 an...