Open AccessPrognosis of Cancer and Proposition of Therapeutics
Author(s) -
M. Bhavani,
Ms. Sherine Glory,
Ms. Pavithra,
Mr. R. Monesh
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.g5876.069820
Subject(s) - random forest , cancer , identification (biology) , decision tree , logistic regression , machine learning , support vector machine , selection (genetic algorithm) , computer science , cancer stage , lung cancer , data mining , artificial intelligence , medicine , oncology , biology , ecology
Cancer is becoming one of the common diseases in day today life, identifying it in a prior stage is still difficult. Identification of environmental and genetic factors is necessary to predict the cancer. We developed a cancer prediction system to predict lung and oral cancer based on the symptoms. The gathered data is pre-processed and the data mining algorithm such as decision tree, logistic regression, Random Forest and Support Vector machines are used to measure the performance. The attribute selection algorithms are used to obtain the mandatory attributes. The main aim of this system is to predict the type of cancer and the suggested therapy using random forest algorithm.