Understanding Smoking Behaviour: A Support Vector Machine Approach

Naik, Karthik Shankar, Stynes, Paul and Sahni, Vikas (2025) Understanding Smoking Behaviour: A Support Vector Machine Approach. In: 2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE, Paris, France. ISBN 979-8-3315-3559-9

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Abstract

Smoking of Tobacco is considered as major cause of chronic diseases like cancer and respiratory related diseases. This research proposes a ML model to predict the smoking behavior of an individual based on demographic and socioeconomic parameters. This research uses smoking dataset, it contains various columns like age, gender, income level, marital status, highest qualification, nationality, ethnicity, gross income, region, smoke, amt-weekends, amt-weekdays, type. SMOTE was applied to handle class imbalance. Feature selection was done using the selectKBest method to retain the most significant predictors. Model performance was assessed using the accuracy, confusion matrix, and classification report. Model gave an accuracy of 78% for SVM. This research shows that ML model provides an effective identification for the health care industry. These insights help Government organizations and public health planning commissions to create awareness campaigns.

Item Type:	Book Section
Uncontrolled Keywords:	EDA (Exploratory Data Analysis); ML (Machine Learning); Smoking tobacco; SMOTE (Synthetic Minority Oversampling Technique); SVM (Support Vector Machine); WHO (World Health Organization)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry > Neurology. Diseases of the Nervous System. > Psychiatry > Psychopathology > Personality Disorders. Behaviour Problems. > Addiction Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning R Medicine > RA Public aspects of medicine > Public Health System
Divisions:	School of Computing > Staff Research and Publications
Depositing User:	Tamara Malone
Date Deposited:	13 May 2026 09:30
Last Modified:	13 May 2026 10:59
URI:	https://norma.ncirl.ie/id/eprint/9301

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