Bin Han

Interpretable, Fair, and Accurate Recidivism Prediction

πŸ“–πŸ“– Paper Synopsis: In Pursuit of Interpretable, Fair and Accurate Machine Learning for Criminal Recidivism Prediction Objectives: We study interpretable recidivism prediction using machine learning (ML) models and analyze performance in terms of prediction ability, sparsity, and fairness. Unlike previous works, this study trains interpretable m... Read more

Socioeconomic Influence on EMS Utilization for Acute Stroke

πŸ“–πŸ“– Paper Synopsis: Socioeconomic Influence on Emergency Medical Services Utilization for Acute Stroke: Think Nationally, Act Locally Background and Purpose: Rates of emergency medical services (EMS) utilization for acute stroke remain low nationwide, despite the time-sensitive nature of the disease. Prior research suggests several demographic a... Read more

Exceptional Longevity & Normal Cognition

πŸ“–πŸ“– Paper Synopsis: Genetic and non-genetic factors associated with the phenotype of exceptional longevity & normal cognition Cognitive Impairment (CI) is defned as the loss of ability in cognitive functions, such as remembering, learning, and concentrating, which negatively impacts affected individuals’ daily activities. In the stage of mil... Read more