output
20102026
most citedThe role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies

818 citations

Showing cs.LGShow all

6 papers · 1 filter

cs.LG2026

Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data

Sterre de Jonge, Elisabeth J. Vinke, Meike W. Vernooij +3

Disease progression modeling provides a robust framework to identify long-term disease trajectories from short-term biomarker data. It is a valuable tool to gain a deeper understan…

cs.LG2025★ 3 cited

MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario Exploration

Héctor Cadavid, Hyunho Mo, Bauke Arends +5

Cardiovascular disease (CVD) remains a leading cause of death, and primary prevention through personalized interventions is crucial. This paper introduces MyDigiTwin, a framework t…

cs.LG2022★ 148 cited

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

Mingxuan Liu, Siqi Li, Han Yuan +7

Objective: The proper handling of missing values is critical to delivering reliable estimates and decisions, especially in high-stakes fields such as clinical research. The increas…

cs.LG2022★ 390 cited

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Sarthak Pati, Ujjwal Baid, Brandon Edwards +276

Although machine learning (ML) has shown promise in numerous domains, there are concerns about generalizability to out-of-sample data. This is currently addressed by centrally shar…

cs.LG2019★ 3 cited

Event-Based Modeling with High-Dimensional Imaging Biomarkers for Estimating Spatial Progression of Dementia

Vikram Venkatraghavan, Florian Dubost, Esther E. Bron +3

Event-based models (EBM) are a class of disease progression models that can be used to estimate temporal ordering of neuropathological changes from cross-sectional data. Current EB…

cs.LG2018★ 5 cited

Disease Progression Timeline Estimation for Alzheimer's Disease using Discriminative Event Based Modeling

Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen +1

Alzheimer's Disease (AD) is characterized by a cascade of biomarkers becoming abnormal, the pathophysiology of which is very complex and largely unknown. Event-based modeling (EBM)…