Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model
Sinhababu, Nilanjan, Saxena, Rahul, Sarma, Monalisa, Samanta, Debasis
–arXiv.org Artificial Intelligence
The Internet has become a very powerful platform where diverse medical information are expressed daily. Recently, a huge growth is seen in searches like symptoms, diseases, medicines, and many other health related queries around the globe. The search engines typically populate the result by using the single query provided by the user and hence reaching to the final result may require a lot of manual filtering from the user's end. Current search engines and recommendation systems still lack real time interactions that may provide more precise result generation. This paper proposes an intelligent and interactive system tied up with the vast medical big data repository on the web and illustrates its potential in finding medical information.
arXiv.org Artificial Intelligence
Jan-24-2021
- Country:
- Asia > India > West Bengal > Kharagpur (0.04)
- Genre:
- Research Report (1.00)
- Industry:
- Health & Medicine (1.00)
- Technology:
- Information Technology
- Information Management (1.00)
- Data Science > Data Mining (1.00)
- Artificial Intelligence
- Representation & Reasoning (1.00)
- Natural Language
- Text Processing (1.00)
- Information Retrieval (1.00)
- Machine Learning
- Statistical Learning > Clustering (1.00)
- Neural Networks > Deep Learning (1.00)
- Information Technology