https://scholars.lib.ntu.edu.tw/handle/123456789/636220
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Chang, Yu-Hsuan | en_US |
dc.contributor.author | Guo, Yi-Ting | en_US |
dc.contributor.author | LI-CHEN FU | en_US |
dc.contributor.author | Chiu, Ming-Jang | en_US |
dc.contributor.author | HAN-MO CHIU | en_US |
dc.contributor.author | HUNG-JU LIN | en_US |
dc.date.accessioned | 2023-10-19T07:00:24Z | - |
dc.date.available | 2023-10-19T07:00:24Z | - |
dc.date.issued | 2023-09-29 | - |
dc.identifier.issn | 21682194 | - |
dc.identifier.uri | https://pubmed.ncbi.nlm.nih.gov/37773912/ | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/636220 | - |
dc.description.abstract | In healthcare facilities, answering the questions from the patients and their companions about the health problems is regarded as an essential task. With the current shortage of medical personnel resources and an increase in the patient-to-clinician ratio, staff in the medical field have consequently devoted less time to answering questions for each patient. However, studies have shown that correct healthcare information can positively improve patients' knowledge, attitudes, and behaviors. Therefore, delivering correct healthcare knowledge through a question-answering system is crucial. In this paper, we develop an interactive healthcare question-answering system that uses attention-based models to answer healthcare-related questions. Attention-based transformer models are utilized to efficiently encode semantic meanings and extract the medical entities inside the user query individually. These two features are integrated through our designed fusion module to match against the pre-collected healthcare knowledge set, so that our system will finally give the most accurate response to the user in real-time. To improve the interactivity, we further introduce a recommendation module and an online web search module to provide potential questions and out-of-scope answers. Experimental results for question-answer retrieval show that the proposed method has the ability to retrieve the correct answer from the FAQ pairs in the healthcare domain. Thus, we believe that this application can bring more benefits to human beings. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | IEEE journal of biomedical and health informatics | en_US |
dc.subject | Data models | Deep Learning | Feature extraction | Healthcare Question-Answering System | Human-Robot Interaction | Medical Entity Extraction | Medical services | Neural networks | Robots | Search engines | Transformers | en_US |
dc.title | Interactive Healthcare Robot using Attention-based Question-Answer Retrieval and Medical Entity Extraction Models | en_US |
dc.type | journal article | en |
dc.identifier.doi | 10.1109/JBHI.2023.3320939 | - |
dc.identifier.pmid | 37773912 | - |
dc.identifier.scopus | 2-s2.0-85173406756 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85173406756 | - |
dc.relation.journalvolume | PP | en_US |
item.openairetype | journal article | - |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.fulltext | no fulltext | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | Computer Science and Information Engineering | - |
crisitem.author.dept | Center for Artificial Intelligence and Advanced Robotics | - |
crisitem.author.dept | Internal Medicine-NTUH | - |
crisitem.author.dept | Integrated Diagnostics and Therapeutics-NTUH | - |
crisitem.author.dept | Internal Medicine | - |
crisitem.author.dept | Internal Medicine-NTUHBH | - |
crisitem.author.orcid | 0000-0002-6947-7646 | - |
crisitem.author.orcid | 0000-0003-2786-8056 | - |
crisitem.author.orcid | 0000-0003-1046-2308 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
crisitem.author.parentorg | National Taiwan University Hospital | - |
crisitem.author.parentorg | College of Medicine | - |
crisitem.author.parentorg | National Taiwan University Hospital Bei-Hu Branch | - |
顯示於: | 醫學系 |
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