Applications of machine learning in healthcare

Claudio Aracena; Fabián Villena; Felipe Arias; Jocelyn Dunstan

doi:10.1016/j.rmclc.2022.10.001

Applications of machine learning in healthcare

Claudio Aracena
, Fabián Villena
, Felipe Arias
, Jocelyn Dunstan

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

This work aims to show recent applications of machine learning in health. Machine learning is a branch of artificial intelligence that has produced excellent results in pattern recognition and predictive analysis achieving state-of-the-art performance in several tasks. For that reason, this technology is used in multiple hospital systems. This article introduces machine learning, important algorithms, and ethical considerations as well as commenting on various applications in health sorted by the type of data used in those studies.

Translated title of the contribution	Aplicaciones de aprendizaje automático en salud
Original language	English
Pages (from-to)	568-575
Number of pages	8
Journal	Revista Medica Clinica Las Condes
Volume	33
Issue number	6
DOIs	https://doi.org/10.1016/j.rmclc.2022.10.001
State	Published - 1 Nov 2022
Externally published	Yes

Keywords

Computer Vision Systems
Deep Learning
Electronic Health Records
Machine Learning
Natural Language Processing

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10.1016/j.rmclc.2022.10.001

Cite this

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abstract = "This work aims to show recent applications of machine learning in health. Machine learning is a branch of artificial intelligence that has produced excellent results in pattern recognition and predictive analysis achieving state-of-the-art performance in several tasks. For that reason, this technology is used in multiple hospital systems. This article introduces machine learning, important algorithms, and ethical considerations as well as commenting on various applications in health sorted by the type of data used in those studies.",

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author = "Claudio Aracena and Fabi{\'a}n Villena and Felipe Arias and Jocelyn Dunstan",

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AU - Aracena, Claudio

AU - Villena, Fabián

AU - Arias, Felipe

AU - Dunstan, Jocelyn

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Y1 - 2022/11/1

N2 - This work aims to show recent applications of machine learning in health. Machine learning is a branch of artificial intelligence that has produced excellent results in pattern recognition and predictive analysis achieving state-of-the-art performance in several tasks. For that reason, this technology is used in multiple hospital systems. This article introduces machine learning, important algorithms, and ethical considerations as well as commenting on various applications in health sorted by the type of data used in those studies.

AB - This work aims to show recent applications of machine learning in health. Machine learning is a branch of artificial intelligence that has produced excellent results in pattern recognition and predictive analysis achieving state-of-the-art performance in several tasks. For that reason, this technology is used in multiple hospital systems. This article introduces machine learning, important algorithms, and ethical considerations as well as commenting on various applications in health sorted by the type of data used in those studies.

KW - Computer Vision Systems

KW - Deep Learning

KW - Electronic Health Records

KW - Machine Learning

KW - Natural Language Processing

UR - https://www.scopus.com/pages/publications/85148861648

U2 - 10.1016/j.rmclc.2022.10.001

DO - 10.1016/j.rmclc.2022.10.001

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JO - Revista Medica Clinica Las Condes

JF - Revista Medica Clinica Las Condes

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ER -

Applications of machine learning in healthcare

Abstract

Keywords

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