AIMC Topic: Information Seeking Behavior

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Qcorp: an annotated classification corpus of Chinese health questions.

BMC medical informatics and decision making
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...

Resource Classification for Medical Questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium
We present an approach for manually and automatically classifying the resource type of medical questions. Three types of resources are considered: patient-specific, general knowledge, and research. Using this approach, an automatic question answering...

Combining Open-domain and Biomedical Knowledge for Topic Recognition in Consumer Health Questions.

AMIA ... Annual Symposium proceedings. AMIA Symposium
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
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
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...

Spark, an application based on Serendipitous Knowledge Discovery.

Journal of biomedical informatics
Findings from information-seeking behavior research can inform application development. In this report we provide a system description of Spark, an application based on findings from Serendipitous Knowledge Discovery studies and data structures known...

Empowering individuals to adopt artificial intelligence for health information seeking: A latent profile analysis among users in Hong Kong.

Social science & medicine (1982)
RATIONALES: Using AI for health information seeking is a novel behavior, and as such, developing effective communication strategies to optimize AI adoption in this area presents challenges. To lay the groundwork, research is needed to map out users' ...

Spell checker for consumer language (CSpell).

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Automated understanding of consumer health inquiries might be hindered by misspellings. To detect and correct various types of spelling errors in consumer health questions, we developed a distributable spell-checking tool, CSpell, that han...

Fine-Tuning Neural Patient Question Retrieval Model with Generative Adversarial Networks.

Studies in health technology and informatics
The online patient question and answering (Q&A) system attracts an increasing amount of users in China. Patient will post their questions and wait for doctors' response. To avoid the lag time involved with the waiting and to reduce the workload o...