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…
stat.AP2024
Predicting the trajectory of intracranial pressure in patients with traumatic brain injury: evaluation of a foundation model for time series
Florian D. van Leeuwen, Shubhayu Bhattacharyay, Alex Carriero +2
Patients with traumatic brain injury (TBI) often experience pathological increases in intracranial pressure (ICP), leading to intracranial hypertension (tIH), a common and serious…
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…