Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review

Carmen Cecilia Sanchez Zuleta; Lillyana María Giraldo Marín; Juan Felipe Vélez Gómez; David Sanguino Cotte; César Augusto Vargas López; Fabián Alberto Jaimes Barragán

doi:10.1007/978-3-030-72651-5_15

Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review

Carmen Cecilia Sanchez Zuleta, Lillyana María Giraldo Marín, Juan Felipe Vélez Gómez, David Sanguino Cotte, César Augusto Vargas López, Fabián Alberto Jaimes Barragán

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The purpose of this scoping review was to observe the evolution of using data mining and machine learning techniques in health care based on the MEDLINE database. We used PRISMA-ScR to observe the techniques evolution and its usage according to the number of scientific publications that reference them from 2000 to 2018. On the basis of the results, we established two search strategies when performing a query about the subject. We also found that the three main techniques used in health care are “cluster,” “support vector machine,” and “neural networks.”

Original language	English
Title of host publication	Trends and Applications in Information Systems and Technologies
Editors	Álvaro Rocha, Hojjat Adeli, Gintautas Dzemyda, Fernando Moreira, Ana Maria Ramalho Correia
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	151-160
Number of pages	10
ISBN (Print)	9783030726508
DOIs	https://doi.org/10.1007/978-3-030-72651-5_15
State	Published - 2021
Event	World Conference on Information Systems and Technologies, WorldCIST 2021 - Terceira Island, Portugal Duration: 30 Mar 2021 → 2 Apr 2021

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1366 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	World Conference on Information Systems and Technologies, WorldCIST 2021
Country/Territory	Portugal
City	Terceira Island
Period	30/03/21 → 2/04/21

Keywords

Database research
Health care
Machine learning
MeSH
Scoping review

Access to Document

10.1007/978-3-030-72651-5_15

Cite this

Sanchez Zuleta, C. C., Giraldo Marín, L. M., Vélez Gómez, J. F., Sanguino Cotte, D., Vargas López, C. A., & Jaimes Barragán, F. A. (2021). Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review. In Á. Rocha, H. Adeli, G. Dzemyda, F. Moreira, & A. M. R. Correia (Eds.), Trends and Applications in Information Systems and Technologies (pp. 151-160). (Advances in Intelligent Systems and Computing; Vol. 1366 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-72651-5_15

Sanchez Zuleta, Carmen Cecilia ; Giraldo Marín, Lillyana María ; Vélez Gómez, Juan Felipe et al. / Evolution of the Data Mining and Machine Learning Techniques Used in Health Care : A Scoping Review. Trends and Applications in Information Systems and Technologies. editor / Álvaro Rocha ; Hojjat Adeli ; Gintautas Dzemyda ; Fernando Moreira ; Ana Maria Ramalho Correia. Springer Science and Business Media Deutschland GmbH, 2021. pp. 151-160 (Advances in Intelligent Systems and Computing).

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abstract = "The purpose of this scoping review was to observe the evolution of using data mining and machine learning techniques in health care based on the MEDLINE database. We used PRISMA-ScR to observe the techniques evolution and its usage according to the number of scientific publications that reference them from 2000 to 2018. On the basis of the results, we established two search strategies when performing a query about the subject. We also found that the three main techniques used in health care are “cluster,” “support vector machine,” and “neural networks.”",

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Sanchez Zuleta, CC, Giraldo Marín, LM, Vélez Gómez, JF, Sanguino Cotte, D, Vargas López, CA & Jaimes Barragán, FA 2021, Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review. in Á Rocha, H Adeli, G Dzemyda, F Moreira & AMR Correia (eds), Trends and Applications in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol. 1366 AISC, Springer Science and Business Media Deutschland GmbH, pp. 151-160, World Conference on Information Systems and Technologies, WorldCIST 2021, Terceira Island, Portugal, 30/03/21. https://doi.org/10.1007/978-3-030-72651-5_15

Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review. / Sanchez Zuleta, Carmen Cecilia; Giraldo Marín, Lillyana María; Vélez Gómez, Juan Felipe et al.
Trends and Applications in Information Systems and Technologies. ed. / Álvaro Rocha; Hojjat Adeli; Gintautas Dzemyda; Fernando Moreira; Ana Maria Ramalho Correia. Springer Science and Business Media Deutschland GmbH, 2021. p. 151-160 (Advances in Intelligent Systems and Computing; Vol. 1366 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Evolution of the Data Mining and Machine Learning Techniques Used in Health Care

T2 - World Conference on Information Systems and Technologies, WorldCIST 2021

AU - Sanchez Zuleta, Carmen Cecilia

AU - Giraldo Marín, Lillyana María

AU - Vélez Gómez, Juan Felipe

AU - Sanguino Cotte, David

AU - Vargas López, César Augusto

AU - Jaimes Barragán, Fabián Alberto

PY - 2021

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N2 - The purpose of this scoping review was to observe the evolution of using data mining and machine learning techniques in health care based on the MEDLINE database. We used PRISMA-ScR to observe the techniques evolution and its usage according to the number of scientific publications that reference them from 2000 to 2018. On the basis of the results, we established two search strategies when performing a query about the subject. We also found that the three main techniques used in health care are “cluster,” “support vector machine,” and “neural networks.”

AB - The purpose of this scoping review was to observe the evolution of using data mining and machine learning techniques in health care based on the MEDLINE database. We used PRISMA-ScR to observe the techniques evolution and its usage according to the number of scientific publications that reference them from 2000 to 2018. On the basis of the results, we established two search strategies when performing a query about the subject. We also found that the three main techniques used in health care are “cluster,” “support vector machine,” and “neural networks.”

KW - Database research

KW - Health care

KW - Machine learning

KW - MeSH

KW - Scoping review

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DO - 10.1007/978-3-030-72651-5_15

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AN - SCOPUS:85107326029

SN - 9783030726508

T3 - Advances in Intelligent Systems and Computing

SP - 151

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BT - Trends and Applications in Information Systems and Technologies

A2 - Rocha, Álvaro

A2 - Adeli, Hojjat

A2 - Dzemyda, Gintautas

A2 - Moreira, Fernando

A2 - Correia, Ana Maria Ramalho

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 30 March 2021 through 2 April 2021

ER -

Sanchez Zuleta CC, Giraldo Marín LM, Vélez Gómez JF, Sanguino Cotte D, Vargas López CA, Jaimes Barragán FA. Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review. In Rocha Á, Adeli H, Dzemyda G, Moreira F, Correia AMR, editors, Trends and Applications in Information Systems and Technologies. Springer Science and Business Media Deutschland GmbH. 2021. p. 151-160. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-72651-5_15

Evolution of the Data Mining and Machine Learning Techniques Used in Health Care: A Scoping Review

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Keywords

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