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HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis.

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第一作者： Md Saiful,Islam

第一单位： Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia. Electronic address: saislam@ksu.edu.sa.

作者： Md Saiful,Islam ^[1] ; Md Abdul,Awal ^[2] ; Jinnaton Nessa,Laboni ^[3] ; Farhana Tazmim,Pinki ^[4] ; Shatu,Karmokar ^[5] ; Khondoker Mirazul,Mumenin ^[6] ; Saad,Al-Ahmadi ^[7] ; Md Ashfikur,Rahman ^[8] ; Md Shahadat,Hossain ^[9] ; Seyedali,Mirjalili ^[10]

作者单位： Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia. Electronic address: saislam@ksu.edu.sa. ^[1] Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh. Electronic address: m.awal@ece.ku.ac.bd. ^[2] Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh. Electronic address: labonihasan456@gmail.com. ^[3] Computer Science and Engineering Discipline, Khulna University, Khulna 9208, Bangladesh. Electronic address: farhana@ku.ac.bd. ^[4] Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh. Electronic address: shatunatore98@gmail.com. ^[5] Electronics and Communication Engineering Discipline, Khulna University, Khulna 9208, Bangladesh. Electronic address: k.mirazulmumenin@gmail.com. ^[6] Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia. Electronic address: salahmadi@ksu.edu.sa. ^[7] Development Studies Discipline, Khulna University, Khulna 9208, Bangladesh. Electronic address: ashfikur@ku.ac.bd. ^[8] Department of Quantitative Sciences, International University of Business Agriculture and Technology, Dhaka 1230, Bangladesh. Electronic address: shahadat_qs@iubat.edu. ^[9] Centre for Artificial Intelligence Research and Optimization, Torrens University, Australia; Yonsei Frontier Lab, Yonsei University, Seoul, South Korea. Electronic address: ali.mirjalili@torrens.edu.au. ^[10]

关键词 ADASYN Cesarean section HGSORF Hyperparameter optimization LIME Machine learning SHAP XAI

医学主题词算法(Algorithms);人工智能(Artificial Intelligence);贝叶斯定理(Bayes Theorem);儿童(Child);人类(Humans);婴儿, 新生(Infant, Newborn);溶解度(Solubility)

DOI 10.1016/j.compbiomed.2022.105671

PMID 35660327

发布时间 2022-09-16

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准确一般字义偏差语意偏离译文作用小提交