Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study
Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study
Byungeun Shon
1
, MS ;
Sook Jin Seong
2
, MD, PhD ;
Eun Jung Choi
3
, PhD ;
Mi-Ri Gwon
3
, PhD ;
Hae Won Lee
3
, MD, PhD ;
Jaechan Park
4
, MD, PhD ;
Ho-Young Chung
1
, MD, PhD ;
Sungmoon Jeong
1
, PhD ;
Young-Ran Yoon
3
, MD, PhD
1
Department of Medical Informatics, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
2
Center for Convergence Medical Research, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
3
Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
4
Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
Corresponding Author:
-
Young-Ran Yoon, MD, PhD
-
Department of Molecular Medicine
-
School of Medicine, Kyungpook National University
-
680 Gukchaebosang-ro, Jung-gu
-
Daegu 41944
-
Republic of Korea
-
Phone:
82 534204950
-
Email: yry@knu.ac.kr