Prognosis of Cancer and Proposition of Therapeutics
M. Bhavani1, Sherine Glory2, V. Pavithra3, R. Monesh4
1Ms. M. Bhavani, Assistant Professor, Department of Computer Science & Engineering, Rajalakshmi Engineering College, Chennai, India.
2Ms. Sherine Glory, Assistant Professor, Department of Computer Science & Engineering, Rajalakshmi Engineering College, Chennai, India.
3Ms. Pavithra, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India.
4Mr. R. Monesh, Department of Computer Science and Engineering, Rajalakshmi Engineering College, Chennai, India.
Manuscript received on May 17, 2020. | Revised Manuscript received on May 25, 2020. | Manuscript published on June 10, 2020. | PP: 394-397 | Volume-9 Issue-8, June 2020. | Retrieval Number: 100.1/ijitee.G5876059720 | DOI: 10.35940/ijitee.G5876.069820
Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC=BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Cancer, Data Mining, logistic regression, Decision Tree, Random Forest, Support Vector.
Scope oft the Article: Data Mining