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Biochemistry & Physiology: Open Access
Islam et al., Biochem Physiol 2016, 5:3
DOI: 10.4172/2168-9652.1000e155
ISSN: 2168-9652
Editorial
OMICS International
Early Prevention and Detection of Cancer Risk for Low Income Country
using Data Mining Technology: Bangladesh Perspective
Md Shariful Islam1, Sharmin Akhter2, Md Salahuddin3*, Jay Prakash Sah4, Md Ramim Tanver Rahman5, Sayed Asaduzzaman6, Kawsar
Ahmed6, AKM Mohiuddin1, Abu Zaffar Shibly1
Department of Biotechnology and Genetic Engineering, Faculty of Life Science, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh
Lecturer, Department of Pharmacy, BGC Trust University, Bangladesh
3
Department of Physiology, Bangladesh Agricultural University, Mymensingh-2202, Bangladesh
4
Department of Medical Laboratory Science, School of Health and Allied Sciences, Pokhara University, Lekhnath-12, Kaski, Nepal
5
Food Nutrition and Functional Factors Research Center, Jiangnan University, Wuxi, China
6
Department of Information and Communication Technology, Mawlana Bhashani Science and Technology University, Santosh, Tangail-1902, Bangladesh
1
2
Introduction
Cancer is an atrocious problem for the researchers due to lack
of faithful treatment to cure this devastating disease in humans
since ancient time. Even though the development of new technology
in cancer research has been proliferating day by day, but there is
still requirement of cancer defeatable treatment. Some mile stone
treatment such as treatment based on genome sequencing is giving
a good hope to the people nowadays but it is challenging especially
for the women of low incoming countries like Bangladesh. Therefore,
several factors like first sex at the age below 16 or above 16 years old,
lack of knowledge about cancer, number of children above 3 years
old, STI (Sexually Transmitted Infection) affection, previous cancer
history, abnormal menstruation and the rate of abortion are highly
significant for cancer causing risk prediction. There are lots of work
to detect the risk factors of cancer using population based case control
study, several databases, and algorithm and induction techniques.
Apart from these, nowadays a most popular technique to predict
cancer risk is data mining technique. Using this new technology of
risk prediction for cancer research may be huge beneficial for the
population based research to prevent cancer.
Cancer is the leading cause of death worldwide due to improper
available treatment and idiopathic etiology. Lung cancer comprises
first lethal cancer in Bangladesh whether Breast cancer is second
most common neoplasm. Most of people of Bangladesh do not even
know that they are the patient of cancer and the majority of cases are
diagnosed at late stages whenever cure is impossible. Lack of awareness
and illiteracy are contributory factors for late presentation and
therefore mortality. People in low income countries are unknown about
risk factors highly associated with breast cancer including abnormal
menopause, lack of knowledge about breast cancer and abortion rate
etc. [1]. Therefore, identification of genetic, environmental factors
and early cancer prediction must play a pivotal role in the diagnosis
as well as an effective preventive strategy to develop novel methods.
Recently there are various types of new methodologies developed for
risk prediction analysis based on data mining process ranker algorithm
with different attribute evaluator and statistical approaches including
skin cancer, cervical cancer, lung cancer, colorectal cancer and breast
cancer. Recently it has been reported that data mining technology is well
sophisticated risk prediction software which is online service systems.
By this technique, people can understand and categorize themselves
as high risk level, intermediate or primary stages on the basis of risk
factors associated with air pollution, excessive alcohol use, radiation
therapy to chest area, tobacco, smoking etc. to cause lung cancer [2].
One sample chart for high risk associated lung cancer and skin cancer
patient shown in Figures 1 and 2.
Biochem Physiol, an open access journal
ISSN: 2168-9652
There is no remedy for cancer after completely affected. Death is
inevitable. So the ability to predict Lung cancer plays an important role
in the diagnosis process.
Using recent advanced knowledge of data mining technology,
we can predict the risk of cancer prevention. And early prediction
of cancer should play a pivotal role in the diagnosis process and for
an effective preventive strategy. Therefore data mining will provide a
methodology and technology to analyze the useful information of data
for decision making.
Summary
Dominant population of the world including Bangladesh is
suffering from skin, lung, cervical and ovarian cancer because of
being unconsciousness about cancer as well as their risk factors.
Figure 1: Lung cancer prediction with high risk level [1].
*Corresponding author: Salahuddin M, Department of Physiology,
Bangladesh Agricultural University, Mymensingh-2202, Bangladesh, Tel:
+852-5584-1096; E-mail: [email protected]
Received August 18, 2016; Accepted August 25, 2016; Published September
02, 2016
Citation: Islam MS, Akhter S, Salahuddin M, Sah JP, Rahman MRT, et al. (2016)
Early Prevention and Detection of Cancer Risk for Low Income Country using
Data Mining Technology: Bangladesh Perspective. Biochem Physiol 5: e155. doi:
10.4172/2168-9652.1000e155
Copyright: © 2016 Islam MS, et al. This is an open-access article distributed under
the terms of the Creative Commons Attribution License, which permits unrestricted
use, distribution, and reproduction in any medium, provided the original author and
source are credited.
Volume 5 • Issue 3 • 1000e155
Citation: Islam MS, Akhter S, Salahuddin M, Sah JP, Rahman MRT, et al. (2016) Early Prevention and Detection of Cancer Risk for Low Income
Country using Data Mining Technology: Bangladesh Perspective. Biochem Physiol 5: e155. doi: 10.4172/2168-9652.1000e155
Page 2 of 2
Many of them are illiterate and poor. They cannot go to doctor and
do must outdoor activities due to lack of money. Most of them do not
even know they have skin cancer. So the ability to predict such cancer
with minimum cost plays a pivotal role in the diagnosis process.
Therefore use of new information technology data mining and risk
prediction systems for cancer research can be more effective for
early detection and awareness for future possible chemotherapeutic
treatment.
References
1. Ahmed K, Asaduzzaman S, Bashar MI, Hossain G, Bhuiyan T (2015)
Association assessment among risk factors and breast cancer in a low income
country, Bangladesh. Asian Pac J Cancer Prev 16: 7507-7512.
2. Ahmed K, Al-Emran A, Jesmin T, Mukti RF, Rahman Z, et al. (2013) Early
detection of lung cancer risk using data mining. Asian Pacific J Cancer Prev
14: 595-598.
Figure 2: Skin cancer prediction with high risk level [3].
3. Ahmed K, Jesmin T, Rahman MZ (2013) Early prevention and detection of skin
cancer risk using data mining. International Journal of Computer Applications
62: 1-6.
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Citation: Islam MS, Akhter S, Salahuddin M, Sah JP, Rahman MRT, et al.
(2016) Early Prevention and Detection of Cancer Risk for Low Income Country
using Data Mining Technology: Bangladesh Perspective. Biochem Physiol 5:
e155. doi: 10.4172/2168-9652.1000e155
Biochem Physiol, an open access journal
ISSN: 2168-9652
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