Yunhua Ji, Patjanaporn Chalacheva, Carol L. Rosen, Michael R. DeBaun, Thomas D. Coates, & Michael C. K. Khoo. (2021). Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach. Frontiers Media S.A..
Chicago Style (17th ed.) CitationYunhua Ji, Patjanaporn Chalacheva, Carol L. Rosen, Michael R. DeBaun, Thomas D. Coates, and Michael C. K. Khoo. Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach. Frontiers Media S.A., 2021.
MLA (9th ed.) CitationYunhua Ji, et al. Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach. Frontiers Media S.A., 2021.