Content area
Abstract
Applications of machine learning (ML) methods have been used extensively to solve various complex challenges in recent years in various application areas, such as medical, financial, environmental, marketing, security, and industrial applications. ML methods are characterized by their ability to examine many data and discover exciting relationships, provide interpretation, and identify patterns. ML can help enhance the reliability, performance, predictability, and accuracy of diagnostic systems for many diseases. This survey provides a comprehensive review of the use of ML in the medical field highlighting standard technologies and how they affect medical diagnosis. Five major medical applications are deeply discussed, focusing on adapting the ML models to solve the problems in cancer, medical chemistry, brain, medical imaging, and wearable sensors. Finally, this survey provides valuable references and guidance for researchers, practitioners, and decision-makers framing future research and development directions.
Details
1 Information Technology, The World Islamic Sciences and Education University. Amman, Jordan
2 Faculty of Computer Sciences and Informatics, Amman Arab University, Amman, Jordan; School of Computer Sciences, Universiti Sains Malaysia, Pulau, Pinang, 11800, Malaysia
3 Department of Software Engineering, Al-Ahliyya Amman University, Amman, Jordan
4 Department of Geomatics, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, Saudi Arabia
5 Department of Scientific Information and Services, Umm Al-Qura University, Mecca, Saudi Arabia
6 Information System College, Israa University, Gaza-Palestine, Jordan
7 Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, 2007, Australia