期刊
COMPUTER SCIENCE REVIEW
卷 40, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.cosrev.2021.100370
关键词
Medical research; Machine learning; Deep learning; Medical data
类别
资金
- DaTALab at Lakehead University
- Lakehead University
- CASES
- NOAMA [RP-544 C-18-19]
- NSERC [RGPIN/05377-2017]
With the vast amount of medical data being generated, there is an urgent need to effectively utilize machine learning techniques to benefit the global medical and health care sectors. Recent research indicates a clear shift towards deep learning methods taking precedence over traditional machine learning methods in the medical domain.
Machine learning is one of the essential and effective tools in analyzing highly complex medical data. With vast amounts of medical data being generated, there is an urgent need to effectively use this data to benefit the medical and health care sectors all across the world. This survey paper presents a systematic literature review for the investigation of various machine learning techniques used for numerous medical applications which are published in highly reputable venues in recent years. Considering only the recent work, we are able to survey the current machine learning and deep learning models that are being used for medical data. This literature review identifies a clear shift of artificial intelligence techniques used in the medical domain, with deep learning methods taking precedence over machine learning methods. (C) 2021 Elsevier Inc. All rights reserved.
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