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@article{170616,
        author = {S Lavanya and Dr.S.Manoj Kumar},
        title = {Assorted Features Used in Machine Learning Algorithms to Detect Cancer- A Holistic Survey},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {803-813},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170616},
        abstract = {Cancer is one of the chronic diseases with higher mortality rate compared to all other diseases. Early prediction and detection of cancer may reduce the mortality rate among the patients. Many researchers have put their effort on predicting and detecting the cancer using many machine learning algorithms. The first step of detecting the occurrence of cancer is selecting the attributes for the machine learning model. There are many types of cancer that affect lung, prostrate, liver, stomach, breast, uterus which affect both men and women in equal ratio.  The motivation of this paper is to accumulate all the attributes which is used by the holistic machine learning algorithms to detect and predict different types of cancer in human beings. So that it will be helpful for the future work to segregate the features which are needed to detect the particular type of cancer.},
        keywords = {Cancer Types, Machine Learning Algorithms, Feature Selection, Detecting Cancer.},
        month = {December},
        }