Disease Identification System: System Implementation and Attack
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 8)Publication Date: 2016-08-05
Authors : Prasanna Shivaji Shinde; Avinash Shrivas;
Page : 83-87
Keywords : Poisoning Attack; machine learning; NLP; DIS; AI;
Abstract
Interactions with outside world are not only natural but mandatory, in DIS user can communicate to doctors through the system for retrieving information about diseases by giving symptoms as input. The system is designed specifically for users who are patients and diagnostic clinics. DIS provides a collaboration and communication platform for first doctors, extension diagnosticians to share information on human body related diseases. The system uses patient data and AI based database for medicines to respective diseases as tools for enhancement of diagnosis of diseases. Through interactions on the Internet between extension doctors and specialists, problems can be communicated immediately and assessed. Specialists authorized to the system can perform diagnosis and identification and provide the best remedy recommendations to the users. Also, an algorithm independent approach for mounting poisoning attack across a dataset of DIS system is being implemented which in turn may lead to false diagnostics.
Other Latest Articles
- Influence of Waste Marble Powder on Characteristics of Clayey Soil
- Effect of Partial Replacement of Fine and Coarse Aggregate (10mm) with Ceramic Waste on the Properties of Concrete
- Media and Social Work
- Systemic Diseases in Pregnant Women-A Survey
- Singular Two-Point Boundary Value Problems of Finite Element method
Last modified: 2021-07-01 14:42:41