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Role of machine learning in medical research: A survey

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

资金

  1. DaTALab at Lakehead University
  2. Lakehead University
  3. CASES
  4. NOAMA [RP-544 C-18-19]
  5. NSERC [RGPIN/05377-2017]

向作者/读者索取更多资源

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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