PREVALENCE OF THALASSEMIA IN THE VIETNAMESE POPULATION AND BUILDING A CLINICAL DECISION SUPPORT SYSTEM FOR PRENATAL SCREENING FOR THALASSEMIA

Background and objectives. Investigating the prevalence of thalassemia in the Vietnamese population, building a clinical decision support system for prenatal screening for thalassemia. Methods. A cross-sectional study was conducted on pregnant women and their husbands visiting Vietnam National H...

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Main Authors: Danh Cuong Tran, Anh Linh Dang, Thi Ngoc Lan Hoang, Chi Thanh Nguyen, Thi Ngoc Mai Dinh, Van Anh Tran, Thi Kim Phuong Doan, Thi Trang Nguyen
Format: Article
Language:English
Published: PAGEPress Publications 2023-04-01
Series:Mediterranean Journal of Hematology and Infectious Diseases
Subjects:
Online Access:http://www.mjhid.org/index.php/mjhid/article/view/5249
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author Danh Cuong Tran
Anh Linh Dang
Thi Ngoc Lan Hoang
Chi Thanh Nguyen
Thi Ngoc Mai Dinh
Van Anh Tran
Thi Kim Phuong Doan
Thi Trang Nguyen
author_facet Danh Cuong Tran
Anh Linh Dang
Thi Ngoc Lan Hoang
Chi Thanh Nguyen
Thi Ngoc Mai Dinh
Van Anh Tran
Thi Kim Phuong Doan
Thi Trang Nguyen
author_sort Danh Cuong Tran
collection DOAJ
description Background and objectives. Investigating the prevalence of thalassemia in the Vietnamese population, building a clinical decision support system for prenatal screening for thalassemia. Methods. A cross-sectional study was conducted on pregnant women and their husbands visiting Vietnam National Hospital of Obstetrics and Gynecology from October 2020 to December 2021. Results. The clinical decision support system including 2 different types of systems for prenatal screening for thalassemia (expert system and 4 AI-based CDSS) was built. Accuracy of expert system and AI-based CDSS was compared. The rate of patients with Alpha thalassemia is 10.73%, the rate of patients with beta-thalassemia is 2.24%, and 0.29% of patients carry both alpha-thalassemia and beta-thalassemia gene mutations. The expert system showed an accuracy of 98.45%. Among the AI-based CDSS developed, the MLP model was the most stable regardless of the training database. Conclusions. When comparing the expert system with the AI-based CDSS, the accuracy of the expert system and AI-based models was found to be comparable. The developed expert system for prenatal thalassemia screening showed high accuracy. AI-based CDSS showed satisfactory results and can be applied in clinical practice.
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spelling doaj.art-a444ca84e8374d7eaa3be5f5d850dcb82025-01-02T20:14:53ZengPAGEPress PublicationsMediterranean Journal of Hematology and Infectious Diseases2035-30062023-04-0115110.4084/MJHID.2023.026PREVALENCE OF THALASSEMIA IN THE VIETNAMESE POPULATION AND BUILDING A CLINICAL DECISION SUPPORT SYSTEM FOR PRENATAL SCREENING FOR THALASSEMIADanh Cuong Tran0Anh Linh Dang1Thi Ngoc Lan Hoang2Chi Thanh Nguyen3Thi Ngoc Mai Dinh4Van Anh Tran5Thi Kim Phuong Doan6Thi Trang Nguyen7National Hospital of Obstetrics and GynecologyNational Hospital of Obstetrics and GynecologyHanoi Medical UniversityAcademy of Military Science and TechnologyHanoi Medical UniversityHanoi Medical UniversityHanoi Medical Universitya:1:{s:5:"en_US";s:24:"Hanoi Medical University";} Background and objectives. Investigating the prevalence of thalassemia in the Vietnamese population, building a clinical decision support system for prenatal screening for thalassemia. Methods. A cross-sectional study was conducted on pregnant women and their husbands visiting Vietnam National Hospital of Obstetrics and Gynecology from October 2020 to December 2021. Results. The clinical decision support system including 2 different types of systems for prenatal screening for thalassemia (expert system and 4 AI-based CDSS) was built. Accuracy of expert system and AI-based CDSS was compared. The rate of patients with Alpha thalassemia is 10.73%, the rate of patients with beta-thalassemia is 2.24%, and 0.29% of patients carry both alpha-thalassemia and beta-thalassemia gene mutations. The expert system showed an accuracy of 98.45%. Among the AI-based CDSS developed, the MLP model was the most stable regardless of the training database. Conclusions. When comparing the expert system with the AI-based CDSS, the accuracy of the expert system and AI-based models was found to be comparable. The developed expert system for prenatal thalassemia screening showed high accuracy. AI-based CDSS showed satisfactory results and can be applied in clinical practice. http://www.mjhid.org/index.php/mjhid/article/view/5249ThalassemiaVietnamese populationclinical decision support systemexpert systemAI-based system
spellingShingle Danh Cuong Tran
Anh Linh Dang
Thi Ngoc Lan Hoang
Chi Thanh Nguyen
Thi Ngoc Mai Dinh
Van Anh Tran
Thi Kim Phuong Doan
Thi Trang Nguyen
PREVALENCE OF THALASSEMIA IN THE VIETNAMESE POPULATION AND BUILDING A CLINICAL DECISION SUPPORT SYSTEM FOR PRENATAL SCREENING FOR THALASSEMIA
Mediterranean Journal of Hematology and Infectious Diseases
Thalassemia
Vietnamese population
clinical decision support system
expert system
AI-based system
title PREVALENCE OF THALASSEMIA IN THE VIETNAMESE POPULATION AND BUILDING A CLINICAL DECISION SUPPORT SYSTEM FOR PRENATAL SCREENING FOR THALASSEMIA
title_full PREVALENCE OF THALASSEMIA IN THE VIETNAMESE POPULATION AND BUILDING A CLINICAL DECISION SUPPORT SYSTEM FOR PRENATAL SCREENING FOR THALASSEMIA
title_fullStr PREVALENCE OF THALASSEMIA IN THE VIETNAMESE POPULATION AND BUILDING A CLINICAL DECISION SUPPORT SYSTEM FOR PRENATAL SCREENING FOR THALASSEMIA
title_full_unstemmed PREVALENCE OF THALASSEMIA IN THE VIETNAMESE POPULATION AND BUILDING A CLINICAL DECISION SUPPORT SYSTEM FOR PRENATAL SCREENING FOR THALASSEMIA
title_short PREVALENCE OF THALASSEMIA IN THE VIETNAMESE POPULATION AND BUILDING A CLINICAL DECISION SUPPORT SYSTEM FOR PRENATAL SCREENING FOR THALASSEMIA
title_sort prevalence of thalassemia in the vietnamese population and building a clinical decision support system for prenatal screening for thalassemia
topic Thalassemia
Vietnamese population
clinical decision support system
expert system
AI-based system
url http://www.mjhid.org/index.php/mjhid/article/view/5249
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