Machine learning-based prediction model for late recurrence after surgery in patients with renal cell carcinoma

被引：0
|
作者：
Hyung Min Kim
Seok-Soo Byun
Jung Kwon Kim
Chang Wook Jeong
Cheol Kwak
Eu Chang Hwang
Seok Ho Kang
Jinsoo Chung
Yong-June Kim
Yun-Sok Ha
Sung-Hoo Hong
机构：
[1] The Catholic University of Korea,Department of Medical Informatics, College of Medicine
[2] The Catholic University of Korea,Department of Biomedicine and Health Sciences, College of Medicine
[3] Seoul National University Bundang Hospital,Department of Urology, Seoul National University College of Medicine
[4] Seoul National University Hospital,Department of Urology, Seoul National University College of Medicine
[5] Chonnam National University Medical School,Department of Urology
[6] Korea University School of Medicine,Department of Urology
[7] National Cancer Center,Department of Urology
[8] Chungbuk National University College of Medicine,Department of Urology
[9] Chungbuk National University,Department of Urology, College of Medicine
[10] Kyungpook National University,Department of Urology, Kyungpook National University Chilgok Hospital, School of Medicine
[11] The Catholic University,Department of Urology, Seoul St. Mary’s Hospital, College of Medicine
来源：
BMC Medical Informatics and Decision Making | / 22卷
关键词：
Renal cell carcinoma; Machine learning; ROC curve: KOrean Renal Cell Carcinoma; Late recurrence;
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