How Lung Cancer Severity Can Be Predicted Using Machine-Learning Based on Different Risk Factors
DOI:
https://doi.org/10.47611/jsrhs.v13i3.6971Keywords:
Machine Learning, Decision Tree, Random Forest, Multilayer Perceptron, Lung CancerAbstract
Lung cancer is among the top causes of death globally, so this study sought to create a medical diagnostic solution in surveying the relationships between features such as symptoms and risk factors for lung cancer severity. 1000 publicly-accessible, anonymized patient records, different machine learning models were utilized with classification accuracy ranging from 92.5 to 100%. These findings argue for a greater role of passive smoke exposure in lung cancer severity than previously established, though further research is encouraged.
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Lung cancer. www.who.int. Published June 26, 2023. https://www.who.int/news-room/fact-sheets/detail/lung-cancer#:~:text=GLOBOCAN%202020%20estimates%20of%20cancer
Ahmad AS, Mayya AM. A new tool to predict lung cancer based on risk factors. Heliyon. 2020;6(2):e03402. Published 2020 Feb 26. doi:10.1016/j.heliyon.2020.e03402
Tiwari SK, Walia N, Singh H, Sharma A. Effective Analysis of Lung Infection using Fuzzy Rules. International Journal of Bio-Science and Bio-Technology. 2015;7(6):85-96. doi:https://doi.org/10.14257/ijbsbt.2015.7.6.10
Billah M., Islam N. An early diagnosis system for predicting lung cancer risk using adaptive neuro fuzzy inference system and linear discriminant analysis. J. MPE Mol. Pathol. Epidoemiol. 2016;1(3):1–4.
Wang KM, Chen KH, Hernanda CA, Tseng SH, Wang KJ. How Is the Lung Cancer Incidence Rate Associated with Environmental Risks? Machine-Learning-Based Modeling and Benchmarking. Int J Environ Res Public Health. 2022;19(14):8445. Published 2022 Jul 11. doi:10.3390/ijerph19148445
Mridha MF, Prodeep AR, Hoque ASMM, et al. A Comprehensive Survey on the Progress, Process, and Challenges of Lung Cancer Detection and Classification. J Healthc Eng. 2022;2022:5905230. Published 2022 Dec 16. doi:10.1155/2022/5905230
Ahmad AS, Mayya AM. Lung Cancer Prediction. www.kaggle.com. Published September 19, 2017. https://www.kaggle.com/datasets/thedevastator/cancer-patients-and-air-pollution-a-new-link
Python Software Foundation. Python Language Reference, version 3.7.1. Available at http://www.python.org
Scikit-learn: Machine Learning in Python, Pedregosa et al., JMLR 12, pp. 2825-2830, 2011.
Klebe S, Leigh J, Henderson DW, Nurminen M. Asbestos, Smoking and Lung Cancer: An Update. Int J Environ Res Public Health. 2019;17(1):258. Published 2019 Dec 30. doi:10.3390/ijerph17010258
Cheng I, Yang J, Tseng C, et al. Traffic-related Air Pollution and Lung Cancer Incidence: The California Multiethnic Cohort Study. Am J Respir Crit Care Med. 2022;206(8):1008-1018. doi:10.1164/rccm.202107-1770OC
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