Retraction Note: A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)Fahad Shabbir Ahmad

被引：0

作者：

Fahad Shabbir Ahmad ^{[1
]}

Liaqat Ali ^{[2
]}

Hasan Ali Raza-Ul-Mustafa ^{[3
]}

Tahir Khattak ^{[4
]}

Iram Hameed ^{[5
]}

Seifedine Wajahat ^{[6
]}

Syed Ahmad Chan Kadry ^{[7
]}

undefined Bukhari ^{[8
]}

机构：

[1] Yale University,Department of Pathology, Yale School of Medicine

[2] University of Electronic Science and Technology of China (UESTC),School of Information and Communication Engineering

[3] University of Science and Technology,Department of Electrical Engineering

[4] Unicamp,Department of Computer Engineering and Industrial Automation (DCA), School of Electrical and Computer Engineering (FEEC)

[5] COMSATS University Islamabad,Department of Computer Science

[6] Merrimack College,Girard School of Business

[7] Ahmad College of Pharmacy,Allied Institute of Medical Sciences

[8] Beirut Arab University,Department of Mathematics and Computer Science, Faculty of Science

[9] St. John’s University,Division of Computer Science, Mathematics and Science, Collins College of Professional Studies

来源：

Journal of Ambient Intelligence and Humanized Computing | 2024年 / 15卷 / Suppl 1期

关键词：

D O I：

10.1007/s12652-024-04901-z

中图分类号：

学科分类号：

摘要：

引用

页码：241 / 241

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[2] A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs) (vol 48, pg 931, 2020)
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