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

Producción científica: Capítulo en Libro/Reporte › Contribución a la conferencia

Resumen

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.

Idioma original	Inglés estadounidense
Título de la publicación alojada	Applied Informatics - First International Conference, ICAI 2018, Proceedings
Editores	Jaime Chavarriaga, Hector Florez, Cesar Diaz
Editorial	Springer
Páginas	107-118
Número de páginas	12
ISBN (versión impresa)	9783030015343
DOI	https://doi.org/10.1007/978-3-030-01535-0_8
Estado	Publicada - 2018
Publicado de forma externa	Sí
Evento	1st International Conference on Applied Informatics, ICAI 2018 - Bogotá, Colombia Duración: nov. 1 2018 → nov. 3 2018

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	942
ISSN (versión impresa)	1865-0929

Conferencia

Conferencia	1st International Conference on Applied Informatics, ICAI 2018
País/Territorio	Colombia
Ciudad	Bogotá
Período	11/1/18 → 11/3/18

Áreas temáticas de ASJC Scopus

Ciencia de la Computación General
Matemáticas General

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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

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Doria, J. D., Orjuela-Cañón, A. D., & Camargo, J. E. (2018). A System for the Acquisition of Data to Predict Pulmonary Tuberculosis. En 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",

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Doria, JD, Orjuela-Cañón, AD & Camargo, JE 2018, A System for the Acquisition of Data to Predict Pulmonary Tuberculosis. En 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).

Producción científica: Capítulo en Libro/Reporte › Contribución a la conferencia

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

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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.

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

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SN - 9783030015343

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SP - 107

EP - 118

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

A2 - Chavarriaga, Jaime

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

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A System for the Acquisition of Data to Predict Pulmonary Tuberculosis

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