Predicting Health Insurance Cost Save

Predicting health insurance cost from Morality data using Machine Learning techniques

Project README

Can the cost of health insurance be estimated automatically?

Background:

Insurance company especially health insurance company need to analyze how a customer is disease prone. We will try to find the risk based on the customers data.

If the Health_Risk can be estimated accurately then insurance cost can be calculated using this formula.


Health Insurance Cost = Base Cost + α * Health Risk

We try to investigate how accurately we can estimate the health risk of a person.

Data Source: National Center for Health Statistics

Data Preprocessing

Total records : 1.04 M Has disease and non disease records. Disease related records : 0.56 M No. of feature: 34

Feature information:

Median and Quartile of each features

Outlier Detection

Used Box-Whisker plot to detect outlier.

Class Imbalance

Has high class imbalance

Classification

We applied K-Nearest Neighbour, Random Forest, Neural Network and Support Vector Machine algorithms to classify the different health risk.

Open Source Agenda is not affiliated with "Predicting Health Insurance Cost" Project. README Source: md-k-sarker/Predicting-Health-Insurance-Cost

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