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September 10, 2025

Deep dive into predicting insurance premiums using machine learning

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Analysis predicts healthcare expenses and insurance premiums in the U.S., suggesting machine learning can enhance affordability.

Models achieved an R² greater than 0.9, indicating strong predictive accuracy for insurance premiums and out-of-pocket costs.
The multilayer perceptron model explained 88% of the variance in costs, showing significant improvements over simpler models.
Future studies should enhance predictions using advanced neural architectures and richer datasets to empower patients.
Increasing age, BMI, and pre-existing conditions correlated positively with higher healthcare expenses and insurance premiums.

Krishnan et al. (2025) studied this question.

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September 10, 2025

View Full Paper

Ask AI

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Authors

Analysis predicts healthcare expenses and insurance premiums in the U.S., suggesting machine learning can enhance affordability.

Models achieved an R² greater than 0.9, indicating strong predictive accuracy for insurance premiums and out-of-pocket costs.
The multilayer perceptron model explained 88% of the variance in costs, showing significant improvements over simpler models.
Future studies should enhance predictions using advanced neural architectures and richer datasets to empower patients.
Increasing age, BMI, and pre-existing conditions correlated positively with higher healthcare expenses and insurance premiums.

Krishnan et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark