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article · Encyclopedia · 2021

Machine Learning in Healthcare Communication

Sarkar Siddique, James C. L. Chow

Cited by 172Open access

Abstract

Machine learning (ML) is a study of computer algorithms for automation through experience. ML is a subset of artificial intelligence (AI) that develops computer systems, which are able to perform tasks generally having need of human intelligence. While healthcare communication is important in order to tactfully translate and disseminate information to support and educate patients and public, ML is proven applicable in healthcare with the ability for complex dialogue management and conversational flexibility. In this topical review, we will highlight how the application of ML/AI in healthcare communication is able to benefit humans. This includes chatbots for the COVID-19 health education, cancer therapy, and medical imaging.

Cite this paper

APA 7

Siddique, S., & Chow, J. C. L. (2021). Machine Learning in Healthcare Communication. Encyclopedia, 1(1), 220–239. https://doi.org/10.3390/encyclopedia1010021

MLA 9

Siddique, Sarkar, and James C. L. Chow. “Machine Learning in Healthcare Communication.” Encyclopedia, vol. 1, no. 1, 2021, pp. 220–39, https://doi.org/10.3390/encyclopedia1010021.

Chicago

Siddique, Sarkar, and James C. L. Chow. 2021. “Machine Learning in Healthcare Communication.” Encyclopedia 1 (1): 220–39. https://doi.org/10.3390/encyclopedia1010021.

Harvard

Siddique, S. and Chow, J.C.L. (2021) ‘Machine Learning in Healthcare Communication’, Encyclopedia, 1(1), pp. 220–239. Available at: https://doi.org/10.3390/encyclopedia1010021.

BibTeX
@article{siddique2021machine,
  title = {{Machine Learning in Healthcare Communication}},
  author = {Siddique, Sarkar and Chow, James C. L.},
  journal = {Encyclopedia},
  volume = {1},
  number = {1},
  pages = {220--239},
  year = {2021},
  doi = {10.3390/encyclopedia1010021}
}

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