AIMC Topic: Consumer Health Information
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Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study.
IEEE journal of biomedical and health informatics
Dec 6, 2018
Our goal is data-driven discovery of features for text simplification. In this paper, we investigate three types of lexical chains: exact, synonymous, and semantic. A lexical chain links semantically related words in a document. We examine their pote...
Safety of patient-facing digital symptom checkers.
Lancet (London, England)
Nov 6, 2018
Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Social media are important platforms for risk communication during public health crises. Effective dissemination of accurate, relevant, and up-to-date health information is important for the public to raise awareness and develop risk management strat...
Qcorp: an annotated classification corpus of Chinese health questions.
BMC medical informatics and decision making
Mar 22, 2018
BACKGROUND: Health question-answering (QA) systems have become a typical application scenario of Artificial Intelligent (AI). An annotated question corpus is prerequisite for training machines to understand health information needs of users. Thus, we...
Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet.
Journal of medical Internet research
Jun 20, 2017
BACKGROUND: In question answering (QA) system development, question classification is crucial for identifying information needs and improving the accuracy of returned answers. Although the questions are domain-specific, they are asked by non-professi...
A deep learning approach for predicting the quality of online health expert question-answering services.
Journal of biomedical informatics
Jun 9, 2017
Recently, online health expert question-answering (HQA) services (systems) have attracted more and more health consumers to ask health-related questions everywhere at any time due to the convenience and effectiveness. However, the quality of answers ...
Combining Open-domain and Biomedical Knowledge for Topic Recognition in Consumer Health Questions.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
Determining the main topics in consumer health questions is a crucial step in their processing as it allows narrowing the search space to a specific semantic context. In this paper we propose a topic recognition approach based on biomedical and open-...
Recognizing Question Entailment for Medical Question Answering.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Feb 10, 2017
With the increasing heterogeneity and specialization of medical texts, automated question answering is becoming more and more challenging. In this context, answering a given medical question by retrieving similar questions that are already answered b...
Ontology-based automatic identification of public health-related Turkish tweets.
Computers in biology and medicine
Feb 4, 2017
Social media analysis, such as the analysis of tweets, is a promising research topic for tracking public health concerns including epidemics. In this paper, we present an ontology-based approach to automatically identify public health-related Turkish...
Aspiring to Unintended Consequences of Natural Language Processing: A Review of Recent Developments in Clinical and Consumer-Generated Text Processing.
Yearbook of medical informatics
Nov 10, 2016
OBJECTIVES: This paper reviews work over the past two years in Natural Language Processing (NLP) applied to clinical and consumer-generated texts.
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