Online ISSN: 2515-8260

Keywords : Cigarettes


DEEP BELIEF NETWORK (DBN) CLASSIFICATION FOR LUNG CANCER PREDICTION USING KNN CLASSIFIER

V. Shanthi; G. Sridevi; R. Charanya; J. Josphin Mary

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1384-1389

Lung cancer is the one of the deadliest disease in the world. Cancer is a disease in which cells develop out of balance in the body. Lung cancer is the primary cause of cancer mortality among both men and women in the United States, and the second most diagnosed disease. After decades of growth, lung cancer levels decrease nationwide, with fewer cigarettes being consumed. The most frequent source of lung cancer is cigarette-smoking. Lung cancer may also be induced by the usage of certain kinds of cigarettes. In this paper we propose a classification of predictive analysis through Deep Belief Network and K-Nearest neighbor (KNN) classifier.

Role of Physicians and Human Behavior in Smoking Cessation

Ruchi Bhuyan; Shishirkanta Behera

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 6, Pages 1351-1360

Smoking is a process in which a drug is ingested and smoke is absorbed into the blood stream. Tobacco smoking is mostly used as a prescribing pathway for illicit drug consumption because burning of the dried plant leaves vaporizes and absorbs illegal drugs with accelerated ingestion through the bloodstream through the lungs and enters the body's tissue. The dried leaves of the tobacco plant, which are rolled onto a tiny square of rice paper, are one of the most widely used in smoking and make a thin, circular ring which are traditionally called "cigarettes." Cigarettes are mostly developed by manufacturers, but may also be laminated by the hand using loose tobacco & rolling paper. Other tools include cigars, pipes, bidis, hookahs, bongs & smoking vaporizers. The paper explains the impacts of smoking on the health of the human race and seeks to identify obstacles and drivers for cessation of smoking.

The Description Of Pre-Clinical Students’ Knowledge And Attitudes About The Dangers Of Smoking Against Lung Cancer

Moskwadina Gultom; B.R.Hertaty Siahaan

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 3, Pages 4771-4782

This study discusses the description of pre-clinical students’ knowledge and attitudes about the dangers of smoking against lung cancer. It was done at Medical Faculty of Universitas Kristen Indonesia (UKI). It was a quantitative study with survey design. The respondents of this study were 83 students who were chosen using quota sampling. The instrument of this study were two sets of questionnaires with closed-ended questions. Based on the results of the study, it can be concluded that: a) of 83 respondents, 71 (85.5%) of respondents knew that smoking was harmful to health, the remaining 12 (14.5%) of respondents did not know that smoking was harmful to health. It can be concluded that most of the Pre-clinical Students Class 2016-2018 at the Medical Faculty of UKI have good knowledge about the dangers of smoking against lung cancer.