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Machine learning in medical applications: A review of state-of-the-art methods

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Israa University
Shehab M.; Abualigah L.; Shambour Q.; Abu-Hashem M.A.; Shambour M.K.Y.; Alsalibi A.I.; Gandomi A.H.
Shehab, Mohammad (56463820900); Abualigah, Laith (57190984712); Shambour, Qusai (35105920000); Abu-Hashem, Muhannad A. (35084807400); Shambour, Mohd Khaled Yousef (57199622074); Alsalibi, Ahmed Izzat (57190286625); Gandomi, Amir H. (26421192100)
56463820900; 57190984712; 35105920000; 35084807400; 57199622074; 57190286625; 26421192100
2022
Computers in Biology and Medicine
Machine learning in medical applications: A review of state-of-the-art methods
145
Elsevier Ltd
105458
Information Technology, The World Islamic Sciences and Education University. Amman, Jordan; Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, Jordan; School of Computer Sciences, Universiti Sains Malaysia, Pinang, Pulau, 11800, Malaysia; Department of Software Engineering, Al-Ahliyya Amman University, Amman, Jordan; Department of Geomatics, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, Saudi Arabia; Department of Scientific Information and Services, Umm Al-Qura University, Mecca, Saudi Arabia; Information System College, Israa University, Gaza-Palestine, Jordan; Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, 2007, NSW, Australia
Shehab M., Information Technology, The World Islamic Sciences and Education University. Amman, Jordan; Abualigah L., Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, Jordan, School of Computer Sciences, Universiti Sains Malaysia, Pinang, Pulau, 11800, Malaysia; Shambour Q., Department of Software Engineering, Al-Ahliyya Amman University, Amman, Jordan; Abu-Hashem M.A., Department of Geomatics, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, Saudi Arabia; Shambour M.K.Y., Department of Scientific Information and Services, Umm Al-Qura University, Mecca, Saudi Arabia; Alsalibi A.I., Information System College, Israa University, Gaza-Palestine, Jordan; Gandomi A.H., Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, 2007, NSW, Australia
L. Abualigah; Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, Jordan; email: Aligah.2020@gmail.com
439
10.1016/j.compbiomed.2022.105458
Diagnosis; Healthcare; Machine learning; Medical applications; Medical field
Brain; Forecasting; Machine Learning; Reproducibility of Results; Decision making; Machine learning; Medical applications; Medical imaging; Surveys; Application area; Diagnostic systems; Environmental marketing; Machine learning methods; Machine learning models; Medical chemistry; Medical fields; Reliability performance; Standard technology; State-of-the-art methods; artificial neural network; brain; breast cancer; cancer classification; cancer diagnosis; clustering algorithm; computer prediction; decision tree; deep learning; diagnostic imaging; discriminant analysis; feature selection; gene expression; hidden Markov model; human; kernel method; lung cancer; machine learning; medicinal chemistry; neuroimaging; nonhuman; pancreas cancer; prostate cancer; Review; supervised machine learning; support vector machine; unsupervised machine learning; brain; forecasting; reproducibility; Diagnosis