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Dissertation Chapters | Computer Science & Engineering | India | Volume 5 Issue 8, August 2016

Disease Identification System: System Implementation and Attack

Prasanna Shivaji Shinde ^[2] | Avinash Shrivas ^[2]

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.

Keywords: Poisoning Attack, machine learning, NLP, DIS, AI

Edition: Volume 5 Issue 8, August 2016,

Pages: 83 - 87

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