AIMC Topic: Consumer Health Information
Clear Filters Showing 21 to 30 of 45 articles
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.
Automated Classification of Consumer Health Information Needs in Patient Portal Messages.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Patients have diverse health information needs, and secure messaging through patient portals is an emerging means by which such needs are expressed and met. As patient portal adoption increases, growing volumes of secure messages may burden healthcar...
FIR: An Effective Scheme for Extracting Useful Metadata from Social Media.
Journal of medical systems
Sep 2, 2015
Recently, the use of social media for health information exchange is expanding among patients, physicians, and other health care professionals. In medical areas, social media allows non-experts to access, interpret, and generate medical information f...
Automated Detection of HONcode Website Conformity Compared to Manual Detection: An Evaluation.
Journal of medical Internet research
Jun 2, 2015
BACKGROUND: To earn HONcode certification, a website must conform to the 8 principles of the HONcode of Conduct In the current manual process of certification, a HONcode expert assesses the candidate website using precise guidelines for each principl...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823