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Medical Cost Personal Datasets

Public Health & Epidemiology

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Insurance

Medical Costs

Health Insurance

Regression

Healthcare

Personal Finance

Medical Data

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Medical Cost Personal Datasets Dataset on Opendatabay data marketplace

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Free

About

Contains medical cost data associated with personal health insurance, incorporating demographic and health-related factors, including age, sex, BMI, smoking status, and geographic region. The dataset is well-suited for regression analysis, enabling users to predict individual medical costs billed by health insurance providers.

Features:

  • Age: Age of the primary insurance holder (numeric).
  • Sex: Gender of the insurance holder (categorical: 'male', 'female').
  • BMI: Body Mass Index, a measure of body fat based on height and weight (numeric).
  • Children: Number of dependents covered by the insurance (numeric).
  • Smoker: Smoking status of the insurance holder (categorical: 'yes', 'no').
  • Region: Residential region of the insurance holder in the US (categorical: 'northeast', 'southeast', 'southwest', 'northwest').
  • Charges: Medical insurance costs billed to the insurance holder (numeric).

Usage:

This dataset can be used for:
  • Predictive modeling of medical insurance costs using demographic and lifestyle factors.
  • Regression analysis to understand the impact of factors like age, BMI, and smoking on insurance charges.
  • Training machine learning algorithms to assist insurance providers in estimating premiums.

Coverage:

The dataset includes medical cost data from individuals across the United States, with a focus on attributes that influence health insurance costs.

License:

CC0 (Public Domain)

Who can use it:

Data scientists, health insurance providers, actuaries, and researchers interested in predictive modeling of insurance costs.

How to use it:

  • Use regression models, such as Linear Regression, to predict insurance costs.
  • Analyze the effect of variables like age, BMI, and smoking status on insurance charges.
  • Assist insurance companies in personalizing premiums based on demographic and health factors.

Dataset Information

VIEWS

23

DOWNLOADS

5

LICENSE

CC0

REGION

GLOBAL

UDQSSQUALITY

5 / 5

VERSION

1.0

Free