IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

Comparing Existing Methods for Predicting the Detection of Possibilities of Blood Cancer by Analyzing Health Data


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International Journal for Innovative Research in Science & Technology
Volume 4 Issue - 9
Year of Publication : 2018
Authors : Gandhi Priyank Sanjay ; Dr. Viral Nagori

BibTeX:

@article{IJIRSTV4I9009,
     title={Comparing Existing Methods for Predicting the Detection of Possibilities of Blood Cancer by Analyzing Health Data},
     author={Gandhi Priyank Sanjay and Dr. Viral Nagori},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={4},
     number={9},
     pages={10--14},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV4I9009.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

E-health is the word of this era and had been much popularized due to its advantages, but still doesn't have the clear definition of the word. Till 90's it was merely a word in a dictionary but now is often used in general practice and its more than just "internet medicine", it’s all about virtually relating computer, medicines, technology and healthcare. This term was previous used by industrialists and people related to marketing and business, but now it’s often used in academics. Machine Learning methods have change the way to deal with the diseases. For cancer, it may improve an understanding, the way how it progressed, the methods to validate and various ways to improve the health by minimizing its disastrous effect of the disease and improve the patients' health. The aim of the current research is to analyze large data obtained from health records using data mining and machine learning algorithms. The study of existing work is to understand better the current scenario and the work in medical science for detecting the blood cancer.


Keywords:

Blood Cancer, Mining, Cancer Detection, Health, ANN, Ehealth


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