Farzana Ahmed
http://hdl.handle.net/10361/7054
2024-03-28T19:39:53Z
2024-03-28T19:39:53Z
Early detection of lung cancer risk using data mining
Ahmed, Kawsar
Kawsar, Abdullah-Al-
Kawsar, Emran
Emran, Abdullah-Al-
Jesmin, Tasnuba
Mukti, Roushney Fatima
Rahman, Md. Zamilur
Ahmed, Farzana
http://hdl.handle.net/10361/7060
2019-09-30T03:22:02Z
2013-01-01T00:00:00Z
Early detection of lung cancer risk using data mining
Ahmed, Kawsar; Kawsar, Abdullah-Al-; Kawsar, Emran; Emran, Abdullah-Al-; Jesmin, Tasnuba; Mukti, Roushney Fatima; Rahman, Md. Zamilur; Ahmed, Farzana
Background: Lung cancer is the leading cause of cancer death worldwide Therefore, identification of genetic as well as environmental factors is very important in developing novel methods of lung cancer prevention. However, this is a multi-layered problem. Therefore a lung cancer risk prediction system is here proposed which is easy, cost effective and time saving. Materials and Methods: Initially 400 cancer and non-cancer patients' data were collected from different diagnostic centres, pre-processed and clustered using a K-means clustering algorithm for identifying relevant and non-relevant data. Next significant frequent patterns are discovered using AprioriTid and a decision tree algorithm. Results: Finally using the significant pattern prediction tools for a lung cancer prediction system were developed. This lung cancer risk prediction system should prove helpful in detection of a person's predisposition for lung cancer. Conclusions: Most of people of Bangladesh do not even know they have lung cancer and the majority of cases are diagnosed at late stages when cure is impossible. Therefore early prediction of lung cancer should play a pivotal role in the diagnosis process and for an effective preventive strategy.
This article was published in the Asian Pacific Journal of Cancer Prevention [© 2013 Asian Pacific Journal of Cancer Prevention] and the definite version is available at : http://dx.doi.org10.7314/APJCP.2013.14.1.595 The Journal's website is at:http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=POCPA9_2013_v14n1_595
2013-01-01T00:00:00Z
Score based risk assessment of lung cancer and its evaluation for Bangladeshi people
Mukti, Roushney Fatima
Samadder, Pratul Dipta
Emran, Abdullah Al
Ahmed, Farzana
Imran, Iqbal Bin
Malaker, Anyanna
Yeasmin, Sabina
http://hdl.handle.net/10361/7056
2016-12-01T09:04:18Z
2014-01-01T00:00:00Z
Score based risk assessment of lung cancer and its evaluation for Bangladeshi people
Mukti, Roushney Fatima; Samadder, Pratul Dipta; Emran, Abdullah Al; Ahmed, Farzana; Imran, Iqbal Bin; Malaker, Anyanna; Yeasmin, Sabina
Background: The problem of cancer, especially lung cancer, is very acute in Bangladesh. The present study was conducted to evaluate the risk of lung cancer among Bangladeshi people based on hereditary, socio-economic and demographic factors. Materials and Methods: This study was carried out in 208 people (patients-104, controls-104) from January 2012 to September 2013 using a structured questionnaire containing details of lung cancer risk factors including smoking, secondhand smoke, tobacco leaf intake, age, gender, family history, chronic lung diseases, radiotherapy in the chest area, diet, obesity, physical activity, alcohol consumption, occupation, education, and income. Descriptive statistics and testing of hypotheses were used for the analysis using SPSS software (version 20). Results: According to this study, lung cancer was more prevalent in males than females. Smoking was the highest risk factor (OR=9.707; RR=3.924; sensitivity=0.8872 and P>0.0001) followed by previous lung disease (asthma, tuberculosis etc.) (OR=7.095; RR=1.508; sensitivity=0.316 and P>0.0001)) for male patients. Highly cooked food (OR=2.485; RR=1.126; sensitivity=0.418 and P=0.004)) and also genetic inheritance (OR=1.93; RR=1.335; sensitivity=0.163 and P=0.138) demonstrated significant correlation with lung cancer as risk factors after these two and alcohol consumption was not prevalent. On the other hand, for female patients, tobacco leaf intake represented the highest risk (OR=2.00; RR=1.429; sensitivity= 0.667 and P=0.5603) while genetic inheritance and highly cooked food also correlate with lung cancer but not so significantly. Socio-economic status and education level also play important roles in causing lung cancer. Some 78.5% male and 83.3% of female cancer patients were rural residents, while 58.2% lived at the margin or below the poverty line. Most male (39.8%) and female (50.0%) patients had completed only primary level education, and 27.6% male and 33.3% female patients were illiterate. Smoking was found to be more prevalent among the less educated persons. Conclusions: The results obtained in this study indicate the importance of creating awareness about lung cancer risk factors among Bangladeshi people and making appropriate access to health services for the illiterate, poor, rural people.
This article was published in the Asian Pacific Journal of Cancer Preventions [© 2014 Asian Pacific Journal of Cancer Prevention] and the definite version is available at : http://dx.doi.org/10.7314/APJCP.2014.15.17.7021 The Journal's website is at: http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=POCPA9_2014_v15n17_7021
2014-01-01T00:00:00Z