Open AccessPERSONALIZED MEDICINE: REDEFINING CANCER TREATMENT USING MACHINE LEARNING
Author(s) -
Akash Kumar,
Kandibanda Sai Santhosh
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v05i08.031
Subject(s) - machine learning , computer science , artificial intelligence , personalized medicine , precision medicine , genetic algorithm , cancer treatment , cancer , bioinformatics , medicine , pathology , biology
We are proposing a novel model forClassify the given genetic variations/mutations basedon evidence from text-based clinical literature. Ourmodel helps Molecular pathologists to classify thecancer tumor variations into 9 classes. As beforemolecular pathologists have to manually study all thevariations which took a lot of time and effort. Tosolve this problem we are making a machine learningmodel and training it on more than 4k data pointswhich is provided by the cancer organization ofAmerica for research and development purposes andachieve 97% accuracy by applying the optimalmachine learning algorithm.