3 citations · 3 across the 3 of their papers we have counts for
3 papers
stat.ME2025
Explainable AI in Healthcare: to Explain, to Predict, or to Describe?
Alex Carriero, Anne de Hond, Bram Cappers +4
Explainable Artificial Intelligence (AI) methods are designed to provide information about how AI-based models make predictions. In healthcare, there is a widespread expectation th…
cs.CL2024★ 3 cited
Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models
Yuqing Wang, Yun Zhao, Sara Alessandra Keller +4
The advancement of large language models (LLMs) has demonstrated strong capabilities across various applications, including mental health analysis. However, existing studies have f…
stat.ME2024
The harms of class imbalance corrections for machine learning based prediction models: a simulation study
Alex Carriero, Kim Luijken, Anne de Hond +3
Risk prediction models are increasingly used in healthcare to aid in clinical decision making. In most clinical contexts, model calibration (i.e., assessing the reliability of risk…