Cargando…

Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study

BACKGROUND: Oral health surveys largely facilitate the prevention and treatment of oral diseases as well as the awareness of population health status. As oral health is always surveyed from a variety of perspectives, it is a difficult and complicated task to gain insights from multidimensional oral...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Ting, Ma, Yuming, Pan, Tianya, Chen, Yifei, Liu, Yuhua, Zhu, Fudong, Zhou, Zhiguang, Chen, Qianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427931/
https://www.ncbi.nlm.nih.gov/pubmed/37526971
http://dx.doi.org/10.2196/46275
_version_ 1785090354170560512
author Xu, Ting
Ma, Yuming
Pan, Tianya
Chen, Yifei
Liu, Yuhua
Zhu, Fudong
Zhou, Zhiguang
Chen, Qianming
author_facet Xu, Ting
Ma, Yuming
Pan, Tianya
Chen, Yifei
Liu, Yuhua
Zhu, Fudong
Zhou, Zhiguang
Chen, Qianming
author_sort Xu, Ting
collection PubMed
description BACKGROUND: Oral health surveys largely facilitate the prevention and treatment of oral diseases as well as the awareness of population health status. As oral health is always surveyed from a variety of perspectives, it is a difficult and complicated task to gain insights from multidimensional oral health surveys. OBJECTIVE: We aimed to develop a visualization framework for the visual analytics and deep mining of multidimensional oral health surveys. METHODS: First, diseases and groups were embedded into data portraits based on their multidimensional attributes. Subsequently, group classification and correlation pattern extraction were conducted to explore the correlation features among diseases, behaviors, symptoms, and cognitions. On the basis of the feature mining of diseases, groups, behaviors, and their attributes, a knowledge graph was constructed to reveal semantic information, integrate the graph query function, and describe the features of intrigue to users. RESULTS: A visualization framework was implemented for the exploration of multidimensional oral health surveys. A series of user-friendly interactions were integrated to propose a visual analysis system that can help users further achieve the regulations of oral health conditions. CONCLUSIONS: A visualization framework is provided in this paper with a set of meaningful user interactions integrated, enabling users to intuitively understand the oral health situation and conduct in-depth data exploration and analysis. Case studies based on real-world data sets demonstrate the effectiveness of our system in the exploration of oral diseases.
format Online
Article
Text
id pubmed-10427931
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher JMIR Publications
record_format MEDLINE/PubMed
spelling pubmed-104279312023-08-17 Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study Xu, Ting Ma, Yuming Pan, Tianya Chen, Yifei Liu, Yuhua Zhu, Fudong Zhou, Zhiguang Chen, Qianming JMIR Med Inform Original Paper BACKGROUND: Oral health surveys largely facilitate the prevention and treatment of oral diseases as well as the awareness of population health status. As oral health is always surveyed from a variety of perspectives, it is a difficult and complicated task to gain insights from multidimensional oral health surveys. OBJECTIVE: We aimed to develop a visualization framework for the visual analytics and deep mining of multidimensional oral health surveys. METHODS: First, diseases and groups were embedded into data portraits based on their multidimensional attributes. Subsequently, group classification and correlation pattern extraction were conducted to explore the correlation features among diseases, behaviors, symptoms, and cognitions. On the basis of the feature mining of diseases, groups, behaviors, and their attributes, a knowledge graph was constructed to reveal semantic information, integrate the graph query function, and describe the features of intrigue to users. RESULTS: A visualization framework was implemented for the exploration of multidimensional oral health surveys. A series of user-friendly interactions were integrated to propose a visual analysis system that can help users further achieve the regulations of oral health conditions. CONCLUSIONS: A visualization framework is provided in this paper with a set of meaningful user interactions integrated, enabling users to intuitively understand the oral health situation and conduct in-depth data exploration and analysis. Case studies based on real-world data sets demonstrate the effectiveness of our system in the exploration of oral diseases. JMIR Publications 2023-08-01 /pmc/articles/PMC10427931/ /pubmed/37526971 http://dx.doi.org/10.2196/46275 Text en ©Ting Xu, Yuming Ma, Tianya Pan, Yifei Chen, Yuhua Liu, Fudong Zhu, Zhiguang Zhou, Qianming Chen. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 01.08.2023. 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
Xu, Ting
Ma, Yuming
Pan, Tianya
Chen, Yifei
Liu, Yuhua
Zhu, Fudong
Zhou, Zhiguang
Chen, Qianming
Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study
title Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study
title_full Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study
title_fullStr Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study
title_full_unstemmed Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study
title_short Visual Analytics of Multidimensional Oral Health Surveys: Data Mining Study
title_sort visual analytics of multidimensional oral health surveys: data mining study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10427931/
https://www.ncbi.nlm.nih.gov/pubmed/37526971
http://dx.doi.org/10.2196/46275
work_keys_str_mv AT xuting visualanalyticsofmultidimensionaloralhealthsurveysdataminingstudy
AT mayuming visualanalyticsofmultidimensionaloralhealthsurveysdataminingstudy
AT pantianya visualanalyticsofmultidimensionaloralhealthsurveysdataminingstudy
AT chenyifei visualanalyticsofmultidimensionaloralhealthsurveysdataminingstudy
AT liuyuhua visualanalyticsofmultidimensionaloralhealthsurveysdataminingstudy
AT zhufudong visualanalyticsofmultidimensionaloralhealthsurveysdataminingstudy
AT zhouzhiguang visualanalyticsofmultidimensionaloralhealthsurveysdataminingstudy
AT chenqianming visualanalyticsofmultidimensionaloralhealthsurveysdataminingstudy