Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54944, first published .
Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study

Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study

Combining Clinical-Radiomics Features With Machine Learning Methods for Building Models to Predict Postoperative Recurrence in Patients With Chronic Subdural Hematoma: Retrospective Cohort Study

Cheng Fang   1 * , MD ;   Xiao Ji   2 * , MM ;   Yifeng Pan   3 * , MSE ;   Guanchao Xie   4 * , MM ;   Hongsheng Zhang   4 * , MM ;   Sai Li   4 , MM ;   Jinghai Wan   1, 4 , MD

1 Department of Neurosurgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China

2 Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui Public Health Clinical Center, Hefei, China

3 The School of Big Data and Artificial Intelligence, Anhui Xinhua University, Hefei, China

4 Department of Neurosurgery, The Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China

*these authors contributed equally

Corresponding Author:

  • Jinghai Wan, MD
  • Department of Neurosurgery
  • National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital
  • Chinese Academy of Medical Sciences and Peking Union Medical College
  • No. 17 Nanli, Panjiayuan
  • Chaoyang District
  • Beijing, 100021
  • China
  • Phone: 86 13426261848
  • Email: wanjinghai@sina.com