Fraud Detection in Medical Insurance Claim System using Machine Learning : A Review

Since the beginning of insurance industry, there has been problem fraudulent claims. These are a broad variety illegal activities, most which never uncovered while costing industry billions dollars annually. It is estimated that India's suffering losses around 600–Rs. 600 million each year because growing economy, more awareness, and strengthened distribution networks. 800 crores in sustained yearly due to bogus India comes up at number 10 for gross premiums collected by life companies 15 total amount earned non-life companies. As result this, we presenting framework selection features be used machine learning, will enable robust categorization demonstrate how these technologies might development system can prevent certain kinds fraud field healthcare. Several different studies have carried out established approach may effectively identify instances healthcare fraud. result, it useful prevention false claims gives greater insight into enhance patient management treatment methods.