• Zain Momin
• Huzaifa Vakil
• Sohel Tharani
• Asad Siddiqui

The amount of data that is collected from the healthcare industry is enormous and hence to go through that data for the improvement of the diagnosis in the future is next to impossible .In summary, the amount of data that is collected is not mined properly. Even though it will be very advantageous for us and the doctors that are giving the diagnosis to plough through the data for simple and effective diagnosis. Our research, hence, focuses on this niche concept of exploiting the collection of data for diseases like diabetes, hepatitis and heart diseases and to devise a decision tree that will make intelligent decisions medically to help the physicians. Various such decision tree algorithms are C4.5 algorithm, ID3 algorithm and CART algorithm. These types of algorithms are used to compare the effectiveness and correction rate among them.

data mining, heart disease, Diabetes, ID3 ,C4.5 ,CART ,decision tree algorithms

"Medical Diagnosis Using Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.17-23, October-2018, Available :http://www.jetir.org/papers/JETIR1810703.pdf

"Medical Diagnosis Using Data Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp17-23, October-2018, Available at : http://www.jetir.org/papers/JETIR1810703.pdf