Prediction of Cancer Treatment Effectiveness and Patient Outcomes using Machine Learning Classification Approaches

Prediction of Cancer Treatment Effectiveness and Patient Outcomes using Machine Learning Classification Approaches - A Review

Published:2023-06-01 Issue: Volume: Page:801-807
ISSN:2395-602X
Container-title:International Journal of Scientific Research in Science and Technology
language:en
Short-container-title:IJSRST

Author:

Maneesh Ragavendra K ¹,Dr. R. Chinnaiyan ²

Affiliation:

1. B. Tech CSE – AI ML, School of Computer Science and Engineering, Presidency University, Bangalore , Karnataka, India

2. Professor & Head- RC, School of Computer Science and Engineering, Presidency University, Bangalore , Karnataka, India

Abstract

This study systematically reviews the Machine Learning methods developed to help predict the patient outcome and treatment effectiveness in cancer treatment. This research paper has been drafted from several other similar papers and with the help of a few topics related websites providing information regarding the radiation toxicity, survival rate and tumor response. Which are the main classification criteria for the patients. The use of ANN, DT, SVM and BNs has proved to be very beneficial in the classification of any given dataset, the accuracy of the model will be high with the use of all these ML methods.

Publisher

Technoscience Academy

Subject

General Medicine

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