Determination of Post Thoracic Surgery using Supervised Machine Learning Algorithms
Abstract
Lung Cancer is a
disease characterized by the uncontrolled cell growth in tissues of the lungs.
It is one of the dangerous and life taking disease in the world. One of the major
causes of the death in human beings is Lung Cancer. The early detection of lung
cancer and also the proper medication is important for the diagnosis process
and it gives the higher chances for successful treatment. Therefore, the
objective of this project is to develop a system that predicts the life
expectancy post thoracic surgery for the lung cancer infected patient. Once the
cancer is detected, the Thoracic Surgery is one of the treatment options for
the diagnosis of Lung Cancer. The project involves the analysis of the
patient’s dataset who underwent Thoracic Surgery and an attempt is made to
model a classifier that will predict the survival of the patient post the
surgery. The dataset will be trained using four Supervised Machine Learning
Algorithms Namely Linear Discriminant Analysis (LDA), Support Vector Machine
(SVM), Random Forest and Logistic Regression. The classifier classifies the
input attribute values and will predict whether the patient will survive for a
minimum span of one-year post the surgery. This project may be considered as a
promising tool to support the medical specialist to make a more precise
diagnosis and prognosis concerning the lung nodules.
Country : India
1 Sujatha Godavarthi
Associate Professor, Department of Computer Science and Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India
IRJIET, Volume 1, Issue 3, December 2017 pp. 45-49
Data Mining Techniques for Predicting
Outcome of Thoracic Surgery (2015).
The Prediction Of Post-operative Life
Expectancy In Lung Cancer Patients (2020).
Data Mining Techniques for Prediction
Of Post-surgical Survival Of Lung Cancer Patients After Thoracic Surgery Using
Data Mining Techniques for (2017).
Analyzing a Lung Cancer Patient
Dataset with the Focus on Predicting Survival Rate After One Year Of Thoracic
Surgery(2017).
Improved Prediction of Post-operative
Life Expectancy after Thoracic Surgery(2016).
Evaluation of Machine Learning
algorithms performance in post-operative life expectancy in the lung cancer
patients (2015).
Life Expectancy Post Thoracic Surgery
(2015).
The Prediction of Post-operative Life
Expectancy in Lung Cancer Patients (2020).
