Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Oral cancer analysis using machine learning techniques Subject The topic of the resource Decision tree; KNN; Machine learning; Oral cancer; OSCC; Prediction; Random forest; SVM; TNM Description An account of the resource Oral cancer staging is most required task of examining treatment and required medication for the patients. In oral cancer staging is of two types, namely, clinical and pathological. TNM (Tumor, Node, and Metastasis) staging is clinical system of predicting oral cancer stages, on the other hand Histology, p63 and podoplanin expressions are pathological staging system which is obtained after biopsy test. These staging systems are used in machine leaning techniques to analyze the different stages of oral cancer. The main aim of the paper is to classify different stages of oral cancer using machine learning techniques. The experimental work is based on clinical and pathological staging system. The data set used for this research work is based on Oral Leukoplakia. The data transformation is applied to standardize the data and the features were extracted using correlation coefficient. The extracted features were classified using Decision tree and random forest which are compared against other popular classification methods like SVM, KNN, MLP and Logistic Regression. From the experimental work, it is found that the various stage classification of oral cancer can be classified efficiently with help of Random Forest and Decision Tree. So the classification of various oral cancers can be performed with help of random forest and Decision Tree. International Research Publication House. Creator An entity primarily responsible for making the resource Lavanya L.; Chandra J. Source A related resource from which the described resource is derived International Journal of Engineering Research and Technology, Vol-12, No. 5, pp. 596-601. Publisher An entity responsible for making the resource available International Research Publication House Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="" target="_blank" rel="noreferrer noopener"></a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069983569&amp;partnerID=40&amp;md5=91a9887b0af5454295b0d85a5105732d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069983569&amp;partnerID=40&amp;md5=91a9887b0af5454295b0d85a5105732d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9743154 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Lavanya L., Department of Computer Science, CHRIST (Deemed to be University), India; Chandra J., Department of Computer Science, CHRIST (Deemed to be University), India