Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach

Yunhua Ji, Patjanaporn Chalacheva, Carol L. Rosen, Michael R. DeBaun, Thomas D. Coates, 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 Digit. Health, 3:714741, 2021. [doi]

@article{JiCRDCK21,
  title = {Identifying Elevated Risk for Future Pain Crises in Sickle-Cell Disease Using Photoplethysmogram Patterns Measured During Sleep: A Machine Learning Approach},
  author = {Yunhua Ji and Patjanaporn Chalacheva and Carol L. Rosen and Michael R. DeBaun and Thomas D. Coates and Michael C. K. Khoo},
  year = {2021},
  doi = {10.3389/fdgth.2021.714741},
  url = {https://doi.org/10.3389/fdgth.2021.714741},
  researchr = {https://researchr.org/publication/JiCRDCK21},
  cites = {0},
  citedby = {0},
  journal = {Frontiers Digit. Health},
  volume = {3},
  pages = {714741},
}