Academic Projects

  1. Title: Online Blood Donor Database

Platform: Eclipse IDE, IBM DB 2 and IBM Web Sphere

Description: It is a 3-Tier application project. The whole objective of the project is an online edge for bringing mutually giving blood donors, blood banks that needs blood. The primary objective of the project is to create an interactive Blood donor, Blood requester and Blood bank clinics. This web application is to be conceived in its current form as a dynamic site-requiring constant updates both from the blood donors as well as the blood banks and is to enable blood donors (Volunteer) to place their profile and blood requester (patients) to publish their requests.

2. Title: E-Health Care Advisory

Platform: IBM RAD and IBM DB 2

Description: It is a 3-Tier application project. The main objective of this project is to implement a computer based Healthcare Information System. This system will help the users to identify certain diseases by answering certain questions asked by the system. Based on the diagnose received the user will be getting some suggestion of medicines that are available at the local chemist without prescription with an advice to visit the doctor. The system once ready should be able to train itself with the feedback given to it (Artificial Intelligence).

3. M. Tech Thesis: Privacy Preservation in Data Intensive Environment

Platform: MATLAB, R Studio, Minitab, ARX Data Anonymization Tool

Description: Healthcare data frameworks have enormously expanded accessibility of medicinal reports and profited human services administration and research work. In many cases, there are developing worries about protection in sharing restorative files. Protection procedures for unstructured restorative content spotlight on recognition and expulsion of patient identifiers from the content, which might be lacking for safeguarding privacy and information utility. For medicinal services, maybe related exploration thinks about the therapeutic records of patients ought to be recovered from various destinations with various regulations on the divulgence of healthcare data. Considering delicate social insurance data, privacy protection is a significant concern, when patients' medicinal services information is utilized for exploration purposes. In this article we have used feature selection for getting the best feature set to be selected for privacy preservation by using PCA (Principle Component Analysis). After that we have used two methods K-anonymity and fuzzy system for providing the privacy on medical databases in data intensive environments. The results affirm that the proposed method has better performance than those of the related works with respect to factors such as highly sensitive data preservation with k-anonymity