International Journal of Computing and Artificial Intelligence

P-ISSN: 2707-6571, E-ISSN: 2707-658X
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2020, Vol. 1, Issue 1, Part A

Identify cancer details using SVM algorithm

Author(s): F Sadiya Firdouse

Abstract: Among different illnesses, malignant growth has become a major danger to people internationally. According to Indian populace evaluation information, the pace of mortality because of malignant growth in India was high and disturbing with around 806000 existing cases before the finish of the only remaining century. Malignant growth is the second most regular illness in India liable for greatest mortality with about 0.3 million passing for every year. This is attributable to the poor accessibility of counteraction, conclusion and treatment of the infection. A wide range of tumors have been accounted for in Indian populace including the malignant growths of skin, lungs, bosom, rectum, stomach, prostate, liver, cervix, throat, bladder, blood, mouth and so forth. The reasons for such high frequency paces of these diseases might be both interior (hereditary, changes, hormonal, poor safe conditions) and outer or natural elements (nourishment propensities, industrialization, over development of populace, social and so on.). In perspective on these realities, the present article depicts the status of different sorts of malignancies in India and its examination at worldwide level. Furthermore, endeavors have been made to depict the primary driver of disease alongside their preventive measures. What's more, endeavors have additionally been made to foresee the impact of expanding number of malignancy patients on the Indian economy.

DOI: 10.33545/27076571.2020.v1.i1a.8

Pages: 36-38 | Views: 1168 | Downloads: 860

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How to cite this article:
F Sadiya Firdouse. Identify cancer details using SVM algorithm. Int J Comput Artif Intell 2020;1(1):36-38. DOI: 10.33545/27076571.2020.v1.i1a.8
International Journal of Computing and Artificial Intelligence
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