Text classification for assisting moderators in online health communities. - Wikidata - awgldk - TriplyDB

Text classification for assisting moderators in online health communities.

Text classification for assisting moderators in online health communities.

http://www.wikidata.org/entity/Q41847527

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Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact Answers to Health Questions: Internet Search Results Versus Online Health Community Responses Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network.VisOHC: Designing Visual Analytics for Online Health Communities Automatically Detecting Failures in Natural Language Processing Tools for Online Community Text.Postpartum Health Information Seeking Using Mobile Phones: Experiences of Low-Income Mothers.Toward automated classification of consumers' cancer-related questions with a new taxonomy of expected answer types.What Patients Can Tell Us: Topic Analysis for Social Media on Breast Cancer.Learning regular expressions for clinical text classification.A comparison of rule-based and machine learning approaches for classifying patient portal messages.Detecting clinically related content in online patient posts.Towards Supporting Patient Decision-making In Online Diabetes Communities.Detecting Recovery Problems Just in Time: Application of Automated Linguistic Analysis and Supervised Machine Learning to an Online Substance Abuse Forum.Mining social media data: How are research sponsors and researchers addressing the ethical challenges?

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P2860

Text classification for assisting moderators in online health communities.

http://www.wikidata.org/entity/Q41847527

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Text classification for assisting moderators in online health communities.

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Text classification for assisting moderators in online health communities.

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J.JBI.2013.08.011

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Journal of Biomedical Informatics

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Text classification for assisting moderators in online health communities

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Meliha Yetisgen-Yildiz

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Wanda Pratt

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P2860

AskHERMES: An online question answering system for complex clinical questions

Toward automated consumer question answering: automatically separating consumer questions from professional questions in the healthcare domain

Applying active learning to high-throughput phenotyping algorithms for electronic health records data

An overview of MetaMap: historical perspective and recent advances

Managing the personal side of health: how patient expertise differs from the expertise of clinicians

Biomedical informatics techniques for processing and analyzing web blogs of military service members

Use of a support vector machine for categorizing free-text notes: assessment of accuracy across two institutions.

Text mining and natural language processing approaches for automatic categorization of lay requests to web-based expert forums.

Supervised approach to recognize question type in a QA system for health.

Towards a medical question-answering system: a feasibility study.

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998-1005

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scholarly article

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10.1016/J.JBI.2013.08.011

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6

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46

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24025513

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3874858

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