Risk Model Machine Learning

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Medical Xpress

Machine learning model predicts postpartum depression risk using health record data

Postpartum depression (PPD) affects up to 15% of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Mass General Brigham ...

Risk.net

Demand deposit balance prediction models under the interest rate risk in the banking book guidelines: an empirical analysis integrating time-series models and machine learning ...

The authors analyze the interest rate risk in the banking book regulations, arguing that financial institutions must develop robust models for forecasting ...

Science Daily

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When to and when not to use machine learning in risk prediction models

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Machine learning model predicts postpartum depression risk using health record data

Demand deposit balance prediction models under the interest rate risk in the banking book guidelines: an empirical analysis integrating time-series models and machine learning ...

Machine learning model helps identify patients at risk of postpartum depression

Machine learning in insurance: Transforming risk management and customer experience

Machine learning model predicts serious transplant complications months before symptoms appear