A Survey on Online Symptoms information and health related question for disease inference system
Abstract & Details
Research Area
Computer Engineering
Keywords
Sparse Deep Learning
Signature Mining
Querying
discriminant features.
Abstract
Online healthcare system is defined as web based system which satisfies health seeker needs by providing inference of the related disease this reduces communication gap between health seeker and health advisor. In healthcare accurately and efficiently inferring diseases is nontrivial especially for community-based health services due to vocabulary gap, incomplete information, correlated medical concepts, and limited high quality training samples. It is also very important to identify the discriminant features. Suppose more than one disease having some symptoms then to give the correct inference of which possible disease the health seeker may suffer from finding discriminant features is done using signature mining
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Pradnya Phanse | D.Y.Patil College of engineering |
| 2 | Pranita Kulkarni | D.Y.Patil College of engineering |
| 3 | Srishti | D.Y.Patil College of engineering |
| 4 | Bhavana Patil | D.Y.Patil College of engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Phanse, Pradnya, Kulkarni, Pranita, Srishti, & Patil, Bhavana (2017). A Survey on Online Symptoms information and health related question for disease inference system. International Journal of Advance Research and Innovative Ideas In Education, 3(2), 1784-1788.
MLA Style
Phanse, Pradnya, et al. "A Survey on Online Symptoms information and health related question for disease inference system." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, 2017, pp. 1784-1788.
IEEE Style
Pradnya Phanse, Pranita Kulkarni, Srishti, and Bhavana Patil, "A Survey on Online Symptoms information and health related question for disease inference system," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 2, pp. 1784-1788, 2017.
Vancouver Style
Phanse Pradnya, Kulkarni Pranita, Srishti, Patil Bhavana. A Survey on Online Symptoms information and health related question for disease inference system. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(2):1784-1788.
Harvard Style
Phanse, Pradnya, Kulkarni, Pranita, Srishti, & Patil, Bhavana (2017) 'A Survey on Online Symptoms information and health related question for disease inference system', International Journal of Advance Research and Innovative Ideas In Education, 3(2), pp. 1784-1788.
Chicago Style
Phanse, Pradnya, et al. "A Survey on Online Symptoms information and health related question for disease inference system." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1784-1788.
Turabian Style
Phanse, Pradnya, et al. "A Survey on Online Symptoms information and health related question for disease inference system." International Journal of Advance Research and Innovative Ideas In Education 3, no. 2 (2017): 1784-1788.
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