Health Insurance

Health insurance research currently focuses on leveraging machine learning and artificial intelligence to improve efficiency and personalization. This involves using various regression models (e.g., gradient boosting, random forest) for cost prediction and risk assessment, as well as exploring the application of neural networks for modeling complex insurance processes like life insurance and the use of large language models to automate policy processing via smart contracts. These advancements aim to enhance both the accuracy of actuarial modeling and the accessibility and transparency of insurance products for consumers. The ultimate goal is to optimize insurance pricing, improve customer experience, and facilitate more informed decision-making for both insurers and policyholders.

Papers

October 11, 2024

AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management
Balaji Shesharao Ingole, Vishnu Ramineni, Manjunatha Sughaturu Krishnappa, Vivekananda Jayaram
Artificial Intelligence Information Access Cost Effective Health Insurance

July 9, 2024

Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies
Inwon Kang, William Van Woensel, Oshani Seneviratne
Complex Process Smart Contract Health Policy Recommendation Policy Generalization Health Insurance

January 20, 2024

Evaluating if trust and personal information privacy concerns are barriers to using health insurance that explicitly utilizes AI
Alex Zarifis, Peter Kawalek, Aida Azadegan
Artificial Intelligence Appropriate Trust Knowledge Barrier Consumer Generated Medium AI Evaluation Health Insurance Privacy Concern

November 23, 2023

Machine Learning For An Explainable Cost Prediction of Medical Insurance
Ugochukwu Orji, Elochukwu Ukwandu
Machine Learning Predictive Model Insurance Pricing Health Insurance Explainable Predictive Ensemble Regression

October 13, 2023

Insuring Smiles: Predicting routine dental coverage using Spark ML
Aishwarya Gupta, Rahul S. Bhogale, Priyanka Thota, Prathushkumar Dathuri, Jongwook Woo
Health Insurance Drug Smile String

May 18, 2023

Machine Learning Recommendation System For Health Insurance Decision Making In Nigeria
Ayomide Owoyemi, Emmanuel Nnaemeka, Temitope O. Benson, Ronald Ikpe, Blessing Nwachukwu, Temitope Isedowo
Recommender System Decision Making Recommendation Model Recommendation Module Set Based Health Insurance

April 25, 2023

Performance Evaluation of Regression Models in Predicting the Cost of Medical Insurance
Jonelle Angelo S. Cenita, Paul Richie F. Asuncion, Jayson M. Victoriano
Machine Learning Support Vector Machine Hidden CoST Performance Evaluation Regression Model Gradient Boosting Knowledge Discovery Health Insurance

September 6, 2022

A Data Science Approach to Risk Assessment for Automobile Insurance Policies
Patrick Hosein
Data Science Risk Assessment Bias Variance Health Insurance Claim Size Prediction

September 5, 2022

Applying Machine Learning to Life Insurance: some knowledge sharing to master it
Antoine Chancel, Laura Bradier, Antoine Ly, Razvan Ionescu, Laurene Martin, Marguerite Sauce
Machine Learning Knowledge Based Survival Model Insurance Data Actuarial Model Health Insurance

February 18, 2022

Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features
Andreas Groll, Carsten Wasserfuhr, Leonid Zeldin
Machine Learning General Analysis Classification Algorithm Stock Market Churn Prediction Contract Theory Important Feature Health Insurance

January 7, 2022

Neural calibration of hidden inhomogeneous Markov chains -- Information decompression in life insurance
Mark Kiermayer, Christian Weiß
Markov Chain Data Compression Transition Probability Markov Process Neural Network Calibration Actuarial Model Homogeneous Markov Health Insurance

Health Insurance

Papers

AI-driven innovation in medicaid: enhancing access, cost efficiency, and population health management

Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies

Evaluating if trust and personal information privacy concerns are barriers to using health insurance that explicitly utilizes AI

Machine Learning For An Explainable Cost Prediction of Medical Insurance

Insuring Smiles: Predicting routine dental coverage using Spark ML

Machine Learning Recommendation System For Health Insurance Decision Making In Nigeria

Performance Evaluation of Regression Models in Predicting the Cost of Medical Insurance

A Data Science Approach to Risk Assessment for Automobile Insurance Policies

Applying Machine Learning to Life Insurance: some knowledge sharing to master it

Churn modeling of life insurance policies via statistical and machine learning methods -- Analysis of important features

Neural calibration of hidden inhomogeneous Markov chains -- Information decompression in life insurance