Dubey Ashutosh Kumar, Gupta Umesh, Jain Sonal
Institute of Engineering and Technology, JK Lakshmipat University, Near Mahindra SEZ, P.O. Mahapura, Ajmer Road, Jaipur, Rajasthan, 302 026, India.
Chin J Cancer. 2016 Jul 30;35(1):71. doi: 10.1186/s40880-016-0135-x.
Owing to the use of tobacco and the consumption of alcohol and adulterated food, worldwide cancer incidence is increasing at an alarming and frightening rate. Since the last decade of the twentieth century, lung cancer has been the most common cancer type. This study aimed to determine the global status of lung cancer and to evaluate the use of computational methods in the early detection of lung cancer.
We used lung cancer data from the United Kingdom (UK), the United States (US), India, and Egypt. For statistical analysis, we used incidence and mortality as well as survival rates to better understand the critical state of lung cancer.
In the UK and the US, we found a significant decrease in lung cancer mortalities in the period of 1990-2014, whereas, in India and Egypt, such a decrease was not much promising. Additionally, we observed that, in the UK and the US, the survival rates of women with lung cancer were higher than those of men. We observed that the data mining and evolutionary algorithms were efficient in lung cancer detection.
Our findings provide an inclusive understanding of the incidences, mortalities, and survival rates of lung cancer in the UK, the US, India, and Egypt. The combined use of data mining and evolutionary algorithm can be efficient in lung cancer detection.
由于烟草使用、酒精消费和食用掺假食品，全球癌症发病率正以惊人且可怕的速度增长。自20世纪最后十年以来，肺癌一直是最常见的癌症类型。本研究旨在确定肺癌的全球状况，并评估计算方法在肺癌早期检测中的应用。
我们使用了来自英国、美国、印度和埃及的肺癌数据。为了进行统计分析，我们使用发病率、死亡率以及生存率来更好地了解肺癌的危急状况。
在英国和美国，我们发现1990 - 2014年期间肺癌死亡率显著下降，而在印度和埃及，这种下降并不太乐观。此外，我们观察到，在英国和美国，肺癌女性患者的生存率高于男性。我们观察到数据挖掘和进化算法在肺癌检测中是有效的。
我们的研究结果全面地呈现了英国、美国、印度和埃及肺癌的发病率、死亡率和生存率情况。数据挖掘和进化算法的联合使用在肺癌检测中可能是有效的。
