Exploring the Supervised Learning Models to Automatically Diagnose Colon Cancer Patients based on their SNP Profiles - Predicting the Predisposition to Colorectal Cancer based on SNP Profiles of Immune Checkpoints using Supervised Learning Models. 7th International Congress of Molecular Medicine, Istanbul / Turkey.
The goal of this analysis is to explore the machine learning-based automatic diagnosis of colorectal patients based on the single nucleotide polymorphisms (SNP). Such a computational approach may be used complementary to other diagnosis tools, such as, biopsy, CT scan, and MRI. Moreover, it may be used as a low-cost screening for colorectal cancers to improve public health.