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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Cancer Tumor Detection Using Genetic Mutated Data and Machine Learning Models Subject The topic of the resource Cancer Tumor; Datasets; Machine leaning models; Natural Language Processing Description An account of the resource Early detection of a disease is a crucial task because of unavailability of proper medical facilities. Cancer is one of the critical diseases that needs early detection for survival. A cancer tumor is caused due to thousands of genetic mutations. Understanding the genetic mutations of cancer tumor is a tedious and time-consuming task. A list of genetic variations is analysed manually by a molecular pathologist. The clinical strips of indication are of nine classes, but the classification is still unknown. The objective of this implementation is to suggest a multiclass classifier which classifies the genetic mutations with respect to the clinical signs. The clinical evidences are text-evidences of gene mutations and analysed by Natural Language Processing (NLP). Various machine learning concepts like Naive Bayes, Logistic Regression, Linear Support Vector Machine, Random Forest Classifier applied on the collected dataset which contain the evidence based on genetic mutations and other clinical evidences that pathology or specialists used to classify the gene mutations. The performances of the models are analysed to get the best results. The machine learning models are implemented and analyzed with the help of gene, variance and text features. Based on the variants of gene mutation, the risk of the cancer can be detected and the medications can be prescribed accordingly. 2022 IEEE. Creator An entity primarily responsible for making the resource Mohanty A.; Prusty A.R.; Cherukuri R.C. Source A related resource from which the described resource is derived 2022 International Conference on Intelligent Controller and Computing for Smart Power, ICICCSP 2022 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICICCSP53532.2022.9862476" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICICCSP53532.2022.9862476</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137774486&amp;doi=10.1109%2FICICCSP53532.2022.9862476&amp;partnerID=40&amp;md5=c21e404e6300883ba6685d41bc26305c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137774486&amp;doi=10.1109%2fICICCSP53532.2022.9862476&amp;partnerID=40&amp;md5=c21e404e6300883ba6685d41bc26305c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547258-6 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 Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Mohanty A., Computer Science and Engineering Christ (Deemed to Be University), Karnataka, India; Prusty A.R., Dgt, Rdsde NSTI(W), West Bengal, Kolkata, India; Cherukuri R.C., Computer Science and Engineering Christ (Deemed to Be University), Karnataka, India