scholarly journals Early Detection and Prevention of Cancer using Data Mining Techniques

2014 ◽  
Vol 97 (13) ◽  
pp. 48-53 ◽  
Author(s):  
P. Ramachandran ◽  
N. Girija ◽  
T. Bhuvaneswari
2018 ◽  
Vol 7 (2.24) ◽  
pp. 79 ◽  
Author(s):  
B Ida Seraphim ◽  
Lavi Samuel Rao ◽  
Shiwani Joshi

The children of today are the future of the nation and there are many hurdles in their development like ASD.ASD (Autism Spectrum Disorder) is a neurological disorder which has a lifetime impact on the basic skills and talents of a human being. The foremost goal of the paper is to know the number of people suffering from autism and the various symptoms of autism.     


Author(s):  
Shouyi Wang ◽  
Cheng-Jhe Lin ◽  
Changxu Wu ◽  
Wanpracha Art Chaovalitwongse

Author(s):  
M. Sucharitha ◽  
Chinmay Chakraborty ◽  
S. Srinivasa Rao ◽  
V. S. K. Reddy

2019 ◽  
Vol 8 (S2) ◽  
pp. 52-56
Author(s):  
B. Gousbi ◽  
A. R. Mohamed Shanavas

Data mining is the extraction of unseen predictive info from huge databases, is the process of arranging through enormous data sets to recognize patterns and create relationships to resolve the problems through data analysis. Cancer is one of the primary reasons of death wide-reaching. Timely detection and prevention of cancer plays a very vital role in decreasing deaths affected by cancer. Identification of genetic and environmental factors is very significant in emerging novel methods to identify and avert cancer. Many researchers’ use data mining techniques like clustering, classification and prediction find potential cancer patients. This paper focuses on a breast cancer prediction system built on data mining techniques. With the help of this system, people can guess the possibility of the breast cancer in the former stage itself.


2020 ◽  
Vol 6 (3) ◽  
pp. 65-76
Author(s):  
Avijit Kumar Chaudhuri ◽  
Arkadip Ray ◽  
Anirban Das ◽  
Prasun Chakrabarti ◽  
Dilip K. Banerjee

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