DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded
Cancer occurs when changes called mutations obtain situate in genes that control cell growth. The mutations permit the cells to divide and multiply in an uncontrolled, hectic way. The cells are multiplying, producing copies that obtain increasingly more abnormal. In the majority cases, the cell copies finally form a tumor. Cancer is the most vital reason for death in the world. The most of common cancers diagnosed in the world are those of the breast, lung, and blood cancers. The prognosis of different cancer is extremely variable. Several cancers are curable with early detection and treatment. Cancers that are aggressive at a later stage may be more difficult to cure. Knowledge Discovery in the database (KDD), which includes data mining techniques are has been used in healthcare. This study paper we have discussed various data mining techniques that have been utilized for the breast cancer, lung cancer, blood cancer. We focus on present research being carried out using the data mining approach to enhance the breast, lung, blood cancers risk factors are diagnosis and prognosis.
