Medical Chatbot Using Question Answering Model
Apoorva Auti
, Maitri Likhiya , Mahesh Ahirrao , Amol Gosavi
Medical Chatbot, Django, NLP, BERT
Admittance to emergency clinic information is usually a difficult, exorbitant and tedious cycle requiring broad cooperation with network overseers. This prompts potential deferrals in obtaining bits of knowledge from information, like conclusion or other clinical results. Medical care managers, clinical professionals, specialists and patients could benefit from a framework that could separate significant data from medical services information in constant. In this paper, we present an inquiry addressing framework that permits wellbeing experts to interface with a enormous scope information base by posing inquiries in normal language. This framework is based upon the BERT and SQLOVA models, which make an interpretation of a client’s solicitation into a SQL question, which is then passed to the information server to recover pertinent information. We additionally propose a profound bilinear comparability model to work on the created SQL inquiries by better matching terms in the client’s question with the information base mapping and substance. This framework was prepared with just 75 genuine inquiries and 455 backinterpreted inquiries, and was assessed north of 75 additional genuine inquiries regarding a genuine wellbeing data set, accomplishing a recovery precision of 78 percent.
"Medical Chatbot Using Question Answering Model", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 5, page no.473 - 475, May-2022, Available :https://ijsdr.org/papers/IJSDR2205091.pdf
Volume 7
Issue 5,
May-2022
Pages : 473 - 475
Paper Reg. ID: IJSDR_200465
Published Paper Id: IJSDR2205091
Downloads: 000347218
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
