Machine Learning in Healthcare Communication
Encyclopedia
; 1(1):220, 2021.
Article
in English
| ProQuest Central | ID: covidwho-1834743
ABSTRACT
DefinitionMachine 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.
Sciences: Comprehensive Works; artificial intelligence; machine learning; healthcare communication; chatbot; Language; Big Data; Electronic health records; Computers; Medical education; Medicine; Deep learning; Health care; Generalized linear models; Decision making; Neural networks; Clinical trials; Natural language processing; Linguistics; Algorithms; Medical imaging; Semantics; Open access
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Language:
English
Journal:
Encyclopedia
Year:
2021
Document Type:
Article
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