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