Abstract :Oral Cancer is one of the main issues today,
diagnosing cancer in prior stage is still difficult for doctors.
Applying the data mining techniques of oral cancer diagnosis
to get compelling outcomes and accomplishing the solid
execution is helpful in medicinal service industry. Generally
machine learning is used to empower a program to analyze
data. Data mining and machine learning algorithm assume an
essential part in therapeutic zone. Data mining is used to find
designs in extensive informational collection, including
techniques at the intersection of machine learning, statistics,
and database frameworks. So treatment is fruitful just if the
sore is analyzed early. In this paper, to construct a data
mining model for Early Detection and Prediction (ED&P) of
oral cancer utilizing machine learning system. The proposed
component creating the following stages are data gathering,
data preprocessing, clustering and classification. Enhanced
Multi-Layer Perceptron (EMLP) algorithm is used for
classification or characterization. It is the most significant
algorithm which is equipped for performing classification.
Enhanced Multi-Layer Perceptron algorithm is proposed in
this paper to detect the correct pathological condition related
to oral cancer. Database of 1000 patients has been made with
25 properties.