Machine learning in healthcare citizen science: A scoping review.

Autor: Baminiwatte R; Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA., Torsu B; Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA., Scherbakov D; Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA., Mollalo A; Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA., Obeid JS; Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA., Alekseyenko AV; Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA., Lenert LA; Biomedical Informatics Center, Department of Public Health Sciences, Medical University of South Carolina (MUSC), Charleston, SC 29425, USA. Electronic address: lenert@musc.edu.

Publikováno v: International journal of medical informatics [Int J Med Inform] 2024 Dec 19; Vol. 195, pp. 105766. Date of Electronic Publication: 2024 Dec 19.