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A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study

BACKGROUND: Cervical cancer has been recognized as a preventable type of cancer. As the assessment of all the risk factors of a disease is challenging for physicians, information technology and risk assessment models have been used to estimate the degree of risk. OBJECTIVE: The aim of this study was...

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Autores principales: Chekin, Nasrin, Ayatollahi, Haleh, Karimi Zarchi, Mojgan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260527/
https://www.ncbi.nlm.nih.gov/pubmed/35731549
http://dx.doi.org/10.2196/34753
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author Chekin, Nasrin
Ayatollahi, Haleh
Karimi Zarchi, Mojgan
author_facet Chekin, Nasrin
Ayatollahi, Haleh
Karimi Zarchi, Mojgan
author_sort Chekin, Nasrin
collection PubMed
description BACKGROUND: Cervical cancer has been recognized as a preventable type of cancer. As the assessment of all the risk factors of a disease is challenging for physicians, information technology and risk assessment models have been used to estimate the degree of risk. OBJECTIVE: The aim of this study was to develop a clinical decision support system to assess the risk of cervical cancer. METHODS: This study was conducted in 2 phases in 2021. In the first phase of the study, 20 gynecologists completed a questionnaire to determine the essential parameters for assessing the risk of cervical cancer, and the data were analyzed using descriptive statistics. In the second phase of the study, the prototype of the clinical decision support system was developed and evaluated. RESULTS: The findings revealed that the most important parameters for assessing the risk of cervical cancer consisted of general and specific parameters. In total, the 8 parameters that had the greatest impact on the risk of cervical cancer were selected. After developing the clinical decision support system, it was evaluated and the mean values of sensitivity, specificity, and accuracy were 85.81%, 93.82%, and 91.39%, respectively. CONCLUSIONS: The clinical decision support system developed in this study can facilitate the process of identifying people who are at risk of developing cervical cancer. In addition, it can help to increase the quality of health care and reduce the costs associated with the treatment of cervical cancer.
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spelling pubmed-92605272022-07-08 A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study Chekin, Nasrin Ayatollahi, Haleh Karimi Zarchi, Mojgan JMIR Med Inform Original Paper BACKGROUND: Cervical cancer has been recognized as a preventable type of cancer. As the assessment of all the risk factors of a disease is challenging for physicians, information technology and risk assessment models have been used to estimate the degree of risk. OBJECTIVE: The aim of this study was to develop a clinical decision support system to assess the risk of cervical cancer. METHODS: This study was conducted in 2 phases in 2021. In the first phase of the study, 20 gynecologists completed a questionnaire to determine the essential parameters for assessing the risk of cervical cancer, and the data were analyzed using descriptive statistics. In the second phase of the study, the prototype of the clinical decision support system was developed and evaluated. RESULTS: The findings revealed that the most important parameters for assessing the risk of cervical cancer consisted of general and specific parameters. In total, the 8 parameters that had the greatest impact on the risk of cervical cancer were selected. After developing the clinical decision support system, it was evaluated and the mean values of sensitivity, specificity, and accuracy were 85.81%, 93.82%, and 91.39%, respectively. CONCLUSIONS: The clinical decision support system developed in this study can facilitate the process of identifying people who are at risk of developing cervical cancer. In addition, it can help to increase the quality of health care and reduce the costs associated with the treatment of cervical cancer. JMIR Publications 2022-06-22 /pmc/articles/PMC9260527/ /pubmed/35731549 http://dx.doi.org/10.2196/34753 Text en ©Nasrin Chekin, Haleh Ayatollahi, Mojgan Karimi Zarchi. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 22.06.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Chekin, Nasrin
Ayatollahi, Haleh
Karimi Zarchi, Mojgan
A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study
title A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study
title_full A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study
title_fullStr A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study
title_full_unstemmed A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study
title_short A Clinical Decision Support System for Assessing the Risk of Cervical Cancer: Development and Evaluation Study
title_sort clinical decision support system for assessing the risk of cervical cancer: development and evaluation study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260527/
https://www.ncbi.nlm.nih.gov/pubmed/35731549
http://dx.doi.org/10.2196/34753
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