Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach

Yuqi Wu, Yang Ren, Dezhi Wu, Sudha Xirasagar, Joseph Johnson. Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach. In 10th IEEE International Conference on Healthcare Informatics, ICHI 2022, Rochester, MN, USA, June 11-14, 2022. pages 664-668, IEEE, 2022. [doi]

@inproceedings{WuRWXJ22,
  title = {Using D-dimer as a Biomarker to Predict COVID-19 Disease Severity from Clinical Data of Hospitalized Patients: A Machine Learning Approach},
  author = {Yuqi Wu and Yang Ren and Dezhi Wu and Sudha Xirasagar and Joseph Johnson},
  year = {2022},
  doi = {10.1109/ICHI54592.2022.00134},
  url = {https://doi.org/10.1109/ICHI54592.2022.00134},
  researchr = {https://researchr.org/publication/WuRWXJ22},
  cites = {0},
  citedby = {0},
  pages = {664-668},
  booktitle = {10th IEEE International Conference on Healthcare Informatics, ICHI 2022, Rochester, MN, USA, June 11-14, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6845-9},
}