Beschreibung
Medical databases tends to grow these years and today can reveal large amount of significant information related to many common diseases on basis of there symptoms. Thus these would be really helpful for those users who are very busy in there life and can't visit a doctor personally for treatment physically. Using data provided from data mining they can understand there diseases and be able to treat it with medicine prescribed by highly rated doctors without having to visit physically. In our project the system is identifying consistent information in the medical field places as building blocks of a healthcare system that is updated with all the latest discoveries. We using such as k-mean algorithm. This research, mainly focus on the type of diseases and treatment information by entering the symptoms and the relation present between these two entities. The main objective of this research is to categorize name of the disease with the symptoms specified and extract it from the database and get the relation that exists between the Disease-Treatment and classify the information into whether it is curable, preventable and any side effect to the user.
Autorenporträt
Prof. Sapana Prakash Mali is Assistant Professor in R. C. Patel Institute of Technology Shirpur. She is Completed her ME in Computer Engineering. Prof. Megha Ravindra Sisode and Prof. Pankaj Eknath Kasar both are working as a Assistant Professor in R. C. Patel Institute of Technology, Shirpur.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
