A System for the Acquisition of Data to Predict Pulmonary Tuberculosis

Juan D. Doria; Alvaro D. Orjuela-Cañón; Jorge E. Camargo

doi:10.1007/978-3-030-01535-0_8

A System for the Acquisition of Data to Predict Pulmonary Tuberculosis

Juan D. Doria
, Alvaro D. Orjuela-Cañón
, Jorge E. Camargo

Research output: Chapter in Book/Inform › Conference contribution

2 Scopus citations

Abstract

This paper presents a web system named TBDiagnostic for data acquisition, analysis and diagnosis of pulmonary tuberculosis. With the help of an artificial intelligence model, which generates a prediction of the diagnosis of tuberculosis, the system allows the user to generate a fast and accurate diagnosis of a person with symptoms of tuberculosis. The system allows to storage patient records and generate reports on these records. This system could help physicians who treat the disease especially in health centers and hospitals with limited infrastructure and data as it is the case of developing countries.

Original language	English (US)
Title of host publication	Applied Informatics - First International Conference, ICAI 2018, Proceedings
Editors	Jaime Chavarriaga, Hector Florez, Cesar Diaz
Publisher	Springer
Pages	107-118
Number of pages	12
ISBN (Print)	9783030015343
DOIs	https://doi.org/10.1007/978-3-030-01535-0_8
State	Published - 2018
Externally published	Yes
Event	1st International Conference on Applied Informatics, ICAI 2018 - Bogotá, Colombia Duration: Nov 1 2018 → Nov 3 2018

Publication series

Name	Communications in Computer and Information Science
Volume	942
ISSN (Print)	1865-0929

Conference

Conference	1st International Conference on Applied Informatics, ICAI 2018
Country/Territory	Colombia
City	Bogotá
Period	11/1/18 → 11/3/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-030-01535-0_8

Cite this

Doria, J. D., Orjuela-Cañón, A. D., & Camargo, J. E. (2018). A System for the Acquisition of Data to Predict Pulmonary Tuberculosis. In J. Chavarriaga, H. Florez, & C. Diaz (Eds.), Applied Informatics - First International Conference, ICAI 2018, Proceedings (pp. 107-118). (Communications in Computer and Information Science; Vol. 942). Springer. https://doi.org/10.1007/978-3-030-01535-0_8

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title = "A System for the Acquisition of Data to Predict Pulmonary Tuberculosis",

abstract = "This paper presents a web system named TBDiagnostic for data acquisition, analysis and diagnosis of pulmonary tuberculosis. With the help of an artificial intelligence model, which generates a prediction of the diagnosis of tuberculosis, the system allows the user to generate a fast and accurate diagnosis of a person with symptoms of tuberculosis. The system allows to storage patient records and generate reports on these records. This system could help physicians who treat the disease especially in health centers and hospitals with limited infrastructure and data as it is the case of developing countries.",

author = "Doria, \{Juan D.\} and Orjuela-Ca{\~n}{\'o}n, \{Alvaro D.\} and Camargo, \{Jorge E.\}",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 1st International Conference on Applied Informatics, ICAI 2018 ; Conference date: 01-11-2018 Through 03-11-2018",

year = "2018",

doi = "10.1007/978-3-030-01535-0\_8",

language = "English (US)",

isbn = "9783030015343",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "107--118",

editor = "Jaime Chavarriaga and Hector Florez and Cesar Diaz",

booktitle = "Applied Informatics - First International Conference, ICAI 2018, Proceedings",

address = "Germany",

}

Doria, JD, Orjuela-Cañón, AD & Camargo, JE 2018, A System for the Acquisition of Data to Predict Pulmonary Tuberculosis. in J Chavarriaga, H Florez & C Diaz (eds), Applied Informatics - First International Conference, ICAI 2018, Proceedings. Communications in Computer and Information Science, vol. 942, Springer, pp. 107-118, 1st International Conference on Applied Informatics, ICAI 2018, Bogotá, Colombia, 11/1/18. https://doi.org/10.1007/978-3-030-01535-0_8

A System for the Acquisition of Data to Predict Pulmonary Tuberculosis. / Doria, Juan D.; Orjuela-Cañón, Alvaro D.; Camargo, Jorge E.
Applied Informatics - First International Conference, ICAI 2018, Proceedings. ed. / Jaime Chavarriaga; Hector Florez; Cesar Diaz. Springer, 2018. p. 107-118 (Communications in Computer and Information Science; Vol. 942).

Research output: Chapter in Book/Inform › Conference contribution

TY - GEN

T1 - A System for the Acquisition of Data to Predict Pulmonary Tuberculosis

AU - Doria, Juan D.

AU - Orjuela-Cañón, Alvaro D.

AU - Camargo, Jorge E.

PY - 2018

Y1 - 2018

N2 - This paper presents a web system named TBDiagnostic for data acquisition, analysis and diagnosis of pulmonary tuberculosis. With the help of an artificial intelligence model, which generates a prediction of the diagnosis of tuberculosis, the system allows the user to generate a fast and accurate diagnosis of a person with symptoms of tuberculosis. The system allows to storage patient records and generate reports on these records. This system could help physicians who treat the disease especially in health centers and hospitals with limited infrastructure and data as it is the case of developing countries.

AB - This paper presents a web system named TBDiagnostic for data acquisition, analysis and diagnosis of pulmonary tuberculosis. With the help of an artificial intelligence model, which generates a prediction of the diagnosis of tuberculosis, the system allows the user to generate a fast and accurate diagnosis of a person with symptoms of tuberculosis. The system allows to storage patient records and generate reports on these records. This system could help physicians who treat the disease especially in health centers and hospitals with limited infrastructure and data as it is the case of developing countries.

UR - https://www.scopus.com/pages/publications/85056451442

UR - https://www.scopus.com/pages/publications/85056451442#tab=citedBy

U2 - 10.1007/978-3-030-01535-0_8

DO - 10.1007/978-3-030-01535-0_8

M3 - Conference contribution

AN - SCOPUS:85056451442

SN - 9783030015343

T3 - Communications in Computer and Information Science

SP - 107

EP - 118

BT - Applied Informatics - First International Conference, ICAI 2018, Proceedings

A2 - Chavarriaga, Jaime

A2 - Florez, Hector

A2 - Diaz, Cesar

PB - Springer

T2 - 1st International Conference on Applied Informatics, ICAI 2018

Y2 - 1 November 2018 through 3 November 2018

ER -

A System for the Acquisition of Data to Predict Pulmonary Tuberculosis

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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