Background: Cancer has become an increasingly important issue for
health expenditure and in the public sector. Therefore, identification
of socioeconomic patterns is essential for developing novel methods
of cancer prevention. A cancer risk prediction system is proposed here,
which is easy and cost-effective, also saves time.
Methods: Initial data were collected from surveys with a digital
audio recorder on 2014 cancer dependent and independent smokers.
Patterns were found using a decision tree model. As socioeconomic
patterns are neglected altogether, this study will pave the way for
public health policies.
Results: This study shows that a death rate in cancers by smoking
around 24.3%. According to them, the type of cancers attributed to
smoking was oral cavity (8.2%) and bladder (8.2%) cancer. Some risk
factors related to smoking and cancers were included male patients
(66%), age <35 years old group (56.3%), employee (86.3%), married
(86.2%), as well as have very good public insurance (96.5%). In
addition, 98% cancer patients were known have public insurance.
Education levels have been shown most of the patients with cigarette
smoking had less than a college education and in the absence of police,
they use fewer safety belts. Those with risk factors for failing to wear a
seat belt under a doctor to quit smoking. Although The health situation
in cancers attributed to smoking vs. non-smoking attributed to worse
evaluated. The age factor is effective in counseling for the doctor to quit
smoking, and people aged 35-65 are the most advised to quit smoking.
Conclusion: Smoking-related costs in Iran are high. The cost
methodology presented is useful for policy making. Cost estimates
can be used to evaluate the level of cigarette taxes and other policies
related to smoking.
Real Time Impact Factor:
Pending
Author Name: Leila Hosseini, Hossein Vatanpour, Mehdi Mohammadzadeh, Mohamadreza Abdolahi, Rita Motidostkomleh
URL: View PDF
Keywords: cancer, smoking, socioeconomic class, data mining, health policy
ISSN: 2089-1180
EISSN: 2302-2914
EOI/DOI: 10.15562/bmj.v7i1.652
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