Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review
A. S. Albahri(Mustansiriyah University), Hayan T. Madhloom, Jamal Mawlood Khlaf(Baghdad Medical City), Jwan K. Alwan(University of Malaya), Z.T. Al-qays(University of Tikrit), A. A. Zaidan(Sultan Idris Education University), M. A. Alsalem(University of Mosul), K. I. Mohammed(Sultan Idris Education University), E. M. Almahdi(Sultan Idris Education University), Eman Thabet Khalid(University of Basrah), A. H. Alamoodi(Sultan Idris Education University), Jameel R. Al‐Obaidi(Sultan Idris Education University), B. B. Zaidan(National Yunlin University of Science and Technology), Rula A. Hamid(University of Information Technology and Communications), A O. S. Albahri(Sultan Idris Education University), Suha Mohammed Hadi(Iraqi University)
Cited by 286
Related Papers
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
|Journal Of Big Data|2023|784
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
|Information Fusion|2023|673
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review
|Expert Systems with Applications|2020|379
Telehealth utilization during the Covid-19 pandemic: A systematic review
|Computers in Biology and Medicine|2021|373