Sectorizing Health Conditions in Quito-Ecuador: A Case Study

Miguel Ortiz; Jhonny Pincay

doi:10.1007/978-3-031-69228-4_32

Sectorizing Health Conditions in Quito-Ecuador: A Case Study

Miguel Ortiz, Jhonny Pincay^*

^*Corresponding author for this work

Faculty of Engineering

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

Abstract

This manuscript details the conceptualization and implementation of a case study that uses operational data of a clinical laboratory to geographically sectorize health conditions in the city of Quito, Ecuador. Through the application of clustering and association rules discovering, it was possible to identify some of the ailments possibly affecting the population of Quito in different sectors of the city. After the evaluation of the results, it was concluded that although they are not enough to generalize, they provide indications about the main health issues that the population suffers from and that they might be related to the districts’ socioeconomic status. Moreover, such outcomes were considered insightful by three health experts, who manifested that they could be used as starting points for targeted health campaigns for instance.

Original language	English
Title of host publication	Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Advances in Computer Sciences - Exploring Innovations at the Intersection of Computing Technologies
Editors	Marcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	481-497
Number of pages	17
ISBN (Print)	9783031692277
DOIs	https://doi.org/10.1007/978-3-031-69228-4_32
State	Published - 2024
Event	International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador Duration: 6 Nov 2023 → 10 Nov 2023

Publication series

Name	Lecture Notes in Networks and Systems
Volume	775 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
Country/Territory	Ecuador
City	Ambato
Period	6/11/23 → 10/11/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Association Discovery
Clinical Data
Clustering

Access to Document

10.1007/978-3-031-69228-4_32

Cite this

Ortiz, M., & Pincay, J. (2024). Sectorizing Health Conditions in Quito-Ecuador: A Case Study. In M. V. Garcia, C. Gordón-Gallegos, A. Salazar-Ramírez, & C. Nuñez (Eds.), Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Advances in Computer Sciences - Exploring Innovations at the Intersection of Computing Technologies (pp. 481-497). (Lecture Notes in Networks and Systems; Vol. 775 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-69228-4_32

Ortiz, Miguel ; Pincay, Jhonny. / Sectorizing Health Conditions in Quito-Ecuador : A Case Study. Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Advances in Computer Sciences - Exploring Innovations at the Intersection of Computing Technologies. editor / Marcelo V. Garcia ; Carlos Gordón-Gallegos ; Asier Salazar-Ramírez ; Carlos Nuñez. Springer Science and Business Media Deutschland GmbH, 2024. pp. 481-497 (Lecture Notes in Networks and Systems).

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abstract = "This manuscript details the conceptualization and implementation of a case study that uses operational data of a clinical laboratory to geographically sectorize health conditions in the city of Quito, Ecuador. Through the application of clustering and association rules discovering, it was possible to identify some of the ailments possibly affecting the population of Quito in different sectors of the city. After the evaluation of the results, it was concluded that although they are not enough to generalize, they provide indications about the main health issues that the population suffers from and that they might be related to the districts{\textquoteright} socioeconomic status. Moreover, such outcomes were considered insightful by three health experts, who manifested that they could be used as starting points for targeted health campaigns for instance.",

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Ortiz, M & Pincay, J 2024, Sectorizing Health Conditions in Quito-Ecuador: A Case Study. in MV Garcia, C Gordón-Gallegos, A Salazar-Ramírez & C Nuñez (eds), Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Advances in Computer Sciences - Exploring Innovations at the Intersection of Computing Technologies. Lecture Notes in Networks and Systems, vol. 775 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 481-497, International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023, Ambato, Ecuador, 6/11/23. https://doi.org/10.1007/978-3-031-69228-4_32

Sectorizing Health Conditions in Quito-Ecuador: A Case Study. / Ortiz, Miguel; Pincay, Jhonny.
Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Advances in Computer Sciences - Exploring Innovations at the Intersection of Computing Technologies. ed. / Marcelo V. Garcia; Carlos Gordón-Gallegos; Asier Salazar-Ramírez; Carlos Nuñez. Springer Science and Business Media Deutschland GmbH, 2024. p. 481-497 (Lecture Notes in Networks and Systems; Vol. 775 LNNS).

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

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AB - This manuscript details the conceptualization and implementation of a case study that uses operational data of a clinical laboratory to geographically sectorize health conditions in the city of Quito, Ecuador. Through the application of clustering and association rules discovering, it was possible to identify some of the ailments possibly affecting the population of Quito in different sectors of the city. After the evaluation of the results, it was concluded that although they are not enough to generalize, they provide indications about the main health issues that the population suffers from and that they might be related to the districts’ socioeconomic status. Moreover, such outcomes were considered insightful by three health experts, who manifested that they could be used as starting points for targeted health campaigns for instance.

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Ortiz M, Pincay J. Sectorizing Health Conditions in Quito-Ecuador: A Case Study. In Garcia MV, Gordón-Gallegos C, Salazar-Ramírez A, Nuñez C, editors, Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Advances in Computer Sciences - Exploring Innovations at the Intersection of Computing Technologies. Springer Science and Business Media Deutschland GmbH. 2024. p. 481-497. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-69228-4_32