67 citations · 101 across the 16 of their papers we have counts for
4 papers · 1 filter
Electrocardiogram-based diagnosis of liver diseases: an externally validated and explainable machine learning approach
Juan Miguel Lopez Alcaraz, Wilhelm Haverkamp, Nils Strodthoff
Background: Liver diseases present a significant global health challenge and often require costly, invasive diagnostics. Electrocardiography (ECG), a widely available and non-invas…
Enhancing clinical decision support with physiological waveforms -- a multimodal benchmark in emergency care
Juan Miguel Lopez Alcaraz, Hjalmar Bouma, Nils Strodthoff
Background: AI-driven prediction algorithms have the potential to enhance emergency medicine by enabling rapid and accurate decision-making regarding patient status and potential d…
Explaining Time Series Classification Predictions via Causal Attributions
Juan Miguel Lopez Alcaraz, Nils Strodthoff
Despite the excelling performance of machine learning models, understanding their decisions remains a long-standing goal. Although commonly used attribution methods from explainabl…
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models
Juan Miguel Lopez Alcaraz, Nils Strodthoff
The imputation of missing values represents a significant obstacle for many real-world data analysis pipelines. Here, we focus on time series data and put forward SSSD, an imputati…