B.Suriya1, J.Santhalakshmi
Revathy2
1PG student-
Department of CSE - Vellammal college of Engineering and technology, Madurai,
Tamilnadu, India.
2Assistant
Professor - Department of CSE- Vellammal college of Engineering and technology,
Madurai, Tamilnadu, India.
The clinical assessment arrangement provides fitness
information about the patients and this will provide health care assessment
values to the clinicians. It is built by using medical datasets. It contains
large amount of data. From the large set of database, mining the details of
diabetic patient and classify the symptoms and forecast whether the patient
have diabetes at wicked level or at initial level. These healthcare
clarifications should help the clinicians for upgraded healthcare assessments.
This information is located in remote servers. In our day to day life directing
data over large networks more securely is being a great challenge. So we’re
guarding our information using some of the techniques like cryptography. So
propose a privacy preserving clinical decision support system which conserves
the privacy of the patient data. By providing privacy, unauthenticated persons
cannot able to mine information about the patients. For investigational results
this paper uses therapeutic datasets from UCI-database.
