A Supervised Machine Learning Study of Online Discussion Forums about Type-2 Diabetes

Jonathan-Raphael Reichert, Klaus Langholz Kristensen, Raghava Rao Mukkamala, Ravi Vatrapu

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

Abstrakt

As an instance of online communities, online diabetes discussion forums mirror these characteristics and seem to track the growing impact of diabetes on individuals around the world. In this paper, we first systematically collected texts
from online discussion forums about diabetes and then applied supervised machine learning techniques to analyze the online conversations. In order to analyse these online textual conversations, we have chosen four domain specific models (Emotions, Sentiment, Personality Traits and Patient Journey). As part of text classification, we employed the ensemble learning method by using 5 different supervised machine learning algorithms to build a set of text classifiers by using the voting method to predict most probable label for a given textual conversation from the online discussion forums. Our findings show that there is a high amount of trust expressed by a subset of users and these users play a vital role in supporting other users of the online discussion forums about diabetes.
OriginalsprogEngelsk
Titel2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom)
RedaktørerHsi Pin Ma, Baofeng Wang
Antal sider7
UdgivelsesstedLos Alamos, CA
ForlagIEEE
Publikationsdato2017
Sider1-7
ISBN (Trykt)9781509067039, 9781509067053
ISBN (Elektronisk)9781509067046
DOI
StatusUdgivet - 2017
BegivenhedIEEE HealthCom 17: 19th International Conference on E-Health Networking, Applications and Services - Dalian, Kina
Varighed: 12 okt. 201715 okt. 2017
Konferencens nummer: 19
http://healthcom2017.ieee-healthcom.org

Konference

KonferenceIEEE HealthCom 17
Nummer19
LandKina
ByDalian
Periode12/10/201715/10/2017
SponsorDalian University
Internetadresse

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