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A text mining analytics on online forum medical queries among parents with diabetic children

Introduction: Recent research shows how the advancement of Internet has changed how parents seek health information for their children in online forums and social media. This includes parents with children that suffer from chronic diseases, such as diabetes. However, little is known on the extent to...

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Main Authors: Kartiwi, Mira, Gunawan, Teddy Surya, Ab Rahman, Jamalludin
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020
Subjects:
H Social Sciences (General)
H61.8 Communication of information
RJ101 Child Health. Child health services
T58.5 Information technology
ZA4050 Electronic information resources
Online Access:http://irep.iium.edu.my/85092/1/JPharmBioallSci_ICPRP%20ABSTRACTS.pdf
http://irep.iium.edu.my/85092/
https://www.jpbsonline.org/
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spelling my.iium.irep.850922020-11-19T21:55:14Z http://irep.iium.edu.my/85092/ A text mining analytics on online forum medical queries among parents with diabetic children Kartiwi, Mira Gunawan, Teddy Surya Ab Rahman, Jamalludin H Social Sciences (General) H61.8 Communication of information RJ101 Child Health. Child health services T58.5 Information technology ZA4050 Electronic information resources Introduction: Recent research shows how the advancement of Internet has changed how parents seek health information for their children in online forums and social media. This includes parents with children that suffer from chronic diseases, such as diabetes. However, little is known on the extent to which the Internet is being used to obtain health-related information and the common concerns raised. Objectives: To analyse the topical context of the public conversation and discussion on online forum among parents with diabetic children. Materials and Methods: Text mining technique was used to examine a dataset that contains granular user posts on online health parenting forum from July 2015 to March 2019. Results: The result of text mining shows that among the key information being sought were the details available non-medical treatments and social supports. Conclusion: The research implications of our results would help medical practitioners and policy maker to design appropriate supports for parents and community in preventing and managing diabetic as chronic disease. Wolters Kluwer Medknow Publications 2020-11 Article PeerReviewed application/pdf en http://irep.iium.edu.my/85092/1/JPharmBioallSci_ICPRP%20ABSTRACTS.pdf Kartiwi, Mira and Gunawan, Teddy Surya and Ab Rahman, Jamalludin (2020) A text mining analytics on online forum medical queries among parents with diabetic children. Journal of Pharmacy and Bioallied Sciences, 2 (Supp2). p. 933. ISSN 0975-7406 https://www.jpbsonline.org/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic H Social Sciences (General)
H61.8 Communication of information
RJ101 Child Health. Child health services
T58.5 Information technology
ZA4050 Electronic information resources
spellingShingle H Social Sciences (General)
H61.8 Communication of information
RJ101 Child Health. Child health services
T58.5 Information technology
ZA4050 Electronic information resources
Kartiwi, Mira
Gunawan, Teddy Surya
Ab Rahman, Jamalludin
A text mining analytics on online forum medical queries among parents with diabetic children
description Introduction: Recent research shows how the advancement of Internet has changed how parents seek health information for their children in online forums and social media. This includes parents with children that suffer from chronic diseases, such as diabetes. However, little is known on the extent to which the Internet is being used to obtain health-related information and the common concerns raised. Objectives: To analyse the topical context of the public conversation and discussion on online forum among parents with diabetic children. Materials and Methods: Text mining technique was used to examine a dataset that contains granular user posts on online health parenting forum from July 2015 to March 2019. Results: The result of text mining shows that among the key information being sought were the details available non-medical treatments and social supports. Conclusion: The research implications of our results would help medical practitioners and policy maker to design appropriate supports for parents and community in preventing and managing diabetic as chronic disease.
format Article
author Kartiwi, Mira
Gunawan, Teddy Surya
Ab Rahman, Jamalludin
author_facet Kartiwi, Mira
Gunawan, Teddy Surya
Ab Rahman, Jamalludin
author_sort Kartiwi, Mira
title A text mining analytics on online forum medical queries among parents with diabetic children
title_short A text mining analytics on online forum medical queries among parents with diabetic children
title_full A text mining analytics on online forum medical queries among parents with diabetic children
title_fullStr A text mining analytics on online forum medical queries among parents with diabetic children
title_full_unstemmed A text mining analytics on online forum medical queries among parents with diabetic children
title_sort text mining analytics on online forum medical queries among parents with diabetic children
publisher Wolters Kluwer Medknow Publications
publishDate 2020
url http://irep.iium.edu.my/85092/1/JPharmBioallSci_ICPRP%20ABSTRACTS.pdf
http://irep.iium.edu.my/85092/
https://www.jpbsonline.org/
_version_ 1684653118839586816
score 13.211869

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