There are 4 repositories under health-insurance topic.
📦 Un Design System pour l’Assurance Maladie
Predicting health insurance cost from Morality data using Machine Learning techniques
An AI, Machine Learning and Blockchain based healthcare ecosystem that predicts health outcome, divulges users' and environmental health risk; mitigates illicit drug use.
Predictive Data Mining for Health Insurance data
A small notebook to walk through if shared or individual plans are a better choice
Analysis of the effect of different types of financial products on financial wellbeing.
This Python collection provides come samples of developed systems in the Python programming language.
What accounts for the wide gap in health insurance rates between rural and urban counties?
Health insurance marketplace data used in April 2017 story
Natural Language Processing Based RealTime Voicemail Routing System for Health Insurance Enterprise
By Constructing a regression model without interactions for data obtained from a health insurance company- information from its subscribers who had made claims resulting from ischemic (coronary) heart disease- we are able to predict the total costs of services provided. This project helps interpret the data through appropriate scatter plots (such as plots of the response against the various explanatory variables), summary statistics, and the output from the regression analysis.
Health Insurance Smart contract which is coded in Solidity. 📃
🗃️ A Vue CLI preset to generate scaffolded CNAM front-end projects
Market analysis on Oscar as an insurtech startup. Unique advantages and approaches to solve problems are placed in the industry landscape. Recommendation is to develop a holistic smart app.
The "US Medical Insurance Costs" project explores and analyzes a dataset containing medical insurance costs for patients in the United States. The project was completed as part of the Codecademy Data Science Career Path.
An insurance company wants to start selling vehicle insurance to the customers that already have health insurance. They believe that one of the ways to reach as many customers as possible with the least amount of calls is to make a machine learning model that sorts the list of customers to maximize the amount of contracted services.
A data science project to increase conversion rate on health insurance cross sell-based service using machine learning.
This project explains on how to build a machine learning algorithm for calculating the medical insurance costs. Check out my video on this topic for the complete video explanation.
Prediction modelling for a pet health insurance company called Trupanion. Originally written for a job application as a data scientist at Trupanion, now being modified to play around with clustering algorithms.
Useful things for work with health insurance.
It's a machine learning model using the Random Forest algorithm to predict health insurance premium amounts based on individual characteristics like age, sex, BMI, and smoker status. It includes data exploration, feature engineering, model training, and prediction.
Work in progress mapping health insurance coverage from ACS data.
To predict whether the Health insurance policy-holders (customers) from past year will also be interested in Vehicle Insurance provided by the company.