ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
Automatically classifying question types for consumer health questions.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Semantic classification of Indonesian consumer health questions.Journal of biomedical semantics · 2025Article
- A Study on Online Health Community Users' Information Demands Based on the BERT-LDA Model.Healthcare (Basel, Switzerland) · 2023Article
- CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions.Scientific data · 2023Article
- Classifying unstructured electronic consult messages to understand primary care physician specialty information needs.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Consumer health information and question answering: helping consumers find answers to their health-related information needs.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- deepBioWSD: effective deep neural word sense disambiguation of biomedical text data.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Assessing Unmet Information Needs of Breast Cancer Survivors: Exploratory Study of Online Health Forums Using Text Classification and Retrieval.JMIR cancer · 2018Article
- Qcorp: an annotated classification corpus of Chinese health questions.BMC medical informatics and decision making · 2018Article
- Semantic annotation of consumer health questions.BMC bioinformatics · 2018Article
- Exploring patient information needs in type 2 diabetes: A cross sectional study of questions.PloS one · 2018Article
- Resource and Response Type Classification for Consumer Health Question Answering.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018Article
- Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet.Journal of medical Internet research · 2017Article
- Interactive use of online health resources: a comparison of consumer and professional questions.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Resource Classification for Medical Questions.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Combining Open-domain and Biomedical Knowledge for Topic Recognition in Consumer Health Questions.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Article
- Automated Classification of Consumer Health Information Needs in Patient Portal Messages.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- Automatic Extraction and Post-coordination of Spatial Relations in Consumer Language.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- An Ensemble Method for Spelling Correction in Consumer Health Questions.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
We present a method for automatically classifying consumer health questions. Our thirteen question types are designed to aid in the automatic retrieval of medical answers from consumer health resources. To our knowledge, this is the first machine learning-based method specifically for classifying consumer health questions. We demonstrate how previous approaches to medical question classification are insufficient to achieve high accuracy on this task. Additionally, we describe, manually annotate, and automatically classify three important question elements that improve question classification over previous techniques. Our results and analysis illustrate the difficulty of the task and the future directions that are necessary to achieve high-performing consumer health question classification.
Indexed as
Identifiers
25954411PMC4420005What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.