JOURNAL ARTICLE

Machine Learning in Healthcare Communication

Sarkar SiddiqueJames C. L. Chow

Year: 2021 Journal:   Encyclopedia Vol: 1 (1)Pages: 220-239   Publisher: Multidisciplinary Digital Publishing Institute

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.

Keywords:
Health care Dissemination Flexibility (engineering) Computer science Automation Artificial intelligence Knowledge management Order (exchange) Human–computer interaction Engineering Business

Metrics

169
Cited By
10.48
FWCI (Field Weighted Citation Impact)
110
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Artificial Intelligence in Healthcare and Education
Health Sciences →  Medicine →  Health Informatics
COVID-19 diagnosis using AI
Health Sciences →  Medicine →  Radiology, Nuclear Medicine and Imaging
Machine Learning in Healthcare
Physical Sciences →  Computer Science →  Artificial Intelligence

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