Survival Status Prediction for Non-small Cell Lung Cancer Patients using Machine Learning

Aishwarya Mohan, Aleksandar Jeremic

2022

Abstract

Lung cancer is the leading cause among cancer-related deaths worldwide. Clinically, it could be divided into several groups: 1) the non-small cell lung cancer (NSCLC, 83.4%), 2) the small cell lung cancer (SCLC,13.3%), 3) not otherwise specified lung cancer (NOS,3.1%), 4) aarcoma lung carcinoma (0.2%), and 5) other specified carcinoma (0.1%). According to SEER Cancer Statistics Review, 5-year survival rate of patients with advanced non-small cell lung cancer (NSCLC) who received chemotherapy was less than 5%. Our ability to provide survival status at any time in future is important from at least two standpoints: a) from the clinical standpoint it enables clinicians to provide optimal delivery of healthcare and b) from a personal standpoint, by providing patient’s family with opportunities to plan their life ahead and potentially cope with emotional aspect of loss of life. In this paper we propose to utilize machine learning techniques to achieve this goal and evaluate several techniques in order to determine their prediction performance using publicly available dataset.

Paper Citation

in Harvard Style

Mohan A. and Jeremic A. (2022). Survival Status Prediction for Non-small Cell Lung Cancer Patients using Machine Learning. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS; ISBN 978-989-758-552-4, SciTePress, pages 273-277. DOI: 10.5220/0010916000003123

in Bibtex Style

@conference{biosignals22,
author={Aishwarya Mohan and Aleksandar Jeremic},
title={Survival Status Prediction for Non-small Cell Lung Cancer Patients using Machine Learning},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS},
year={2022},
pages={273-277},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010916000003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 4: BIOSIGNALS
TI - Survival Status Prediction for Non-small Cell Lung Cancer Patients using Machine Learning
SN - 978-989-758-552-4
AU - Mohan A.
AU - Jeremic A.
PY - 2022
SP - 273
EP - 277
DO - 10.5220/0010916000003123
PB - SciTePress