A Review of Machine Learning Approaches in Clinical Healthcare

Author:

Dixit Pooja,Payal Manju,Dutt Vishal,Tuteja Ankita

Publisher

Springer International Publishing

Reference18 articles.

1. Chen, R. Ranganath, in A Review of Challenges and Opportunities in Machine Learning for Health (2019) Corpus ID: 208857467

2. R.L. Richesson, W.E. Hammond, M. Nahm, D. Wixted, G.E. Simon, J.G. Robinson, et al., Electronic health records based phenotyping in next-generation clinical trials: A perspective from the NIH Health Care Systems Collaboratory. J. Am. Med. Inform. Assoc. 20(e2), e226–e231 (2013)

3. E. Corbett, The real-world benefits of machine learning in healthcare. Health Catal. (2017, April 25)

4. T. Grote, P. Berens, On the ethics of algorithmic decision-making in healthcare. J. Med. Ethics 46(3), 205 (2019 November). https://doi.org/10.1136/medethics-2019-105586

5. D. Faggella, in Machine Learning Healthcare Applications – 2018 and Beyond (Emerj The AI Research and Advisory Company, 2019, May 19)

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