Consumer health information and question answering: helping consumers find answers to their health-related information needs.

Journal: Journal of the American Medical Informatics Association : JAMIA

Published Date: Feb 1, 2020

Abstract

OBJECTIVE: Consumers increasingly turn to the internet in search of health-related information; and they want their questions answered with short and precise passages, rather than needing to analyze lists of relevant documents returned by search engines and reading each document to find an answer. We aim to answer consumer health questions with information from reliable sources.

Authors

Dina Demner-Fushman

Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD.
Yassine Mrabet

Luxembourg Institute of Science and Technology, Luxembourg. Electronic address: yassine.mrabet@list.lu.
Asma Ben Abacha

Luxembourg Institute of Science and Technology, Luxembourg. Electronic address: asma.benabacha@list.lu.

Keywords

Consumer Health Information Datasets as Topic Deep Learning Humans Information Storage and Retrieval Machine Learning MedlinePlus Natural Language Processing Pilot Projects Search Engine Unified Medical Language System

External Resources

View on PubMed Access via DOI PubMed (31592532)

Consumer health information and question answering: helping consumers find answers to their health-related information needs.

Abstract

Authors

Keywords

External Resources

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