Related Experiment Video
Updated: Aug 29, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Predicting the cost of mental health benefits
1Department of Economics, Boston University, MA 02215.
Abstract:
Actuarial and economic methods are combined to predict the costs of mental health and substance abuse benefits in insurance. Costs are predicted for two employers under alternative benefit plans that contain some of the features proposed under national health reform. The cost of a given benefit differs greatly across population groups. In order to make accurate cost forecasts, data on the group's experience must be combined with research data on the impact of plan changes. Application of employers' experience and research from mental health economics can contribute to better public and private decisions, including those that are part of current health reform.
More Related Videos
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
06:16Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
Related Concept Videos
Regression Toward the Mean
The Availability Heuristic
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
The...
Stress and Mental Health
Individuals with depression often experience challenges in both their personal and professional...
Diagnostic and Statistical Manual of Mental Disorders (DSM)
The Influence of Cognition on Affect