Categorical Burden Score

Categorical burden scores represent a quantitative measure of the impact of a phenomenon, ranging from healthcare resource utilization to financial strain or the presence of medical conditions like lacunes. Research focuses on developing and applying these scores across diverse domains, employing methods like generalized linear models for predicting hospital stays and machine learning for risk assessment in finance and mental health. The development of accurate and reliable categorical burden scores offers significant potential for improving resource allocation, risk management, and ultimately, improving patient outcomes and societal well-being.