Role of machine learning in medical research: A survey

被引:114
作者
Garg, Arunim [1 ]
Mago, Vijay [1 ]
机构
[1] Lakehead Univ, Dept Comp Sci, Thunder Bay, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Medical research; Machine learning; Deep learning; Medical data; BIG DATA; NEURAL-NETWORKS; PROMISE; CNN; PERFORMANCE; PREDICTION; FUTURE;
D O I
10.1016/j.cosrev.2021.100370
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:17
相关论文
共 92 条
[1]  
Alpaydin E., 2020, INTRO MACHINE LEARNI, DOI DOI 10.7551/MITPRESS/13811.001.0001
[2]  
[Anonymous], 2007, GUIDELINES PERFORMIN, DOI DOI 10.1145/12345678
[3]  
[Anonymous], 2021, IEEE Trans. Broadcast.
[4]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[5]   Lessons from applying the systematic literature review process within the software engineering domain [J].
Brereton, Pearl ;
Kitchenham, Barbara A. ;
Budgen, David ;
Turner, Mark ;
Khalil, Mohamed .
JOURNAL OF SYSTEMS AND SOFTWARE, 2007, 80 (04) :571-583
[6]   Two-Stage Convolutional Neural Network forMedical Noise Removal via Image Decomposition [J].
Chang, Yi ;
Yan, Luxin ;
Chen, Meiya ;
Fang, Houzhang ;
Zhong, Sheng .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 69 (06) :2707-2721
[7]   Machine Learning and Prediction in Medicine - Beyond the Peak of Inflated Expectations [J].
Chen, Jonathan H. ;
Asch, Steven M. .
NEW ENGLAND JOURNAL OF MEDICINE, 2017, 376 (26) :2507-2509
[8]   Disease Prediction by Machine Learning Over Big Data From Healthcare Communities [J].
Chen, Min ;
Hao, Yixue ;
Hwang, Kai ;
Wang, Lu ;
Wang, Lin .
IEEE ACCESS, 2017, 5 :8869-8879
[9]   Big Data: A Survey [J].
Chen, Min ;
Mao, Shiwen ;
Liu, Yunhao .
MOBILE NETWORKS & APPLICATIONS, 2014, 19 (02) :171-209