Alle Papers – Machine Learning im Gesundheitswesen

Synthesize high-dimensional longitudinal electronic health records via hierarchical autoregressive language model

Risk prediction models of depression in older adults with chronic diseases

Data-Driven Learning for <i>H</i> $_{\infty}$ Control of Adaptive Cruise Control Systems

Predicting short and long-term mortality after acute ischemic stroke using EHR

Classification of Intracranial Hemorrhage Subtypes Using Deep Learning on CT Scans

Deep Learning in Neuroimaging: Overcoming Challenges With Emerging Approaches

The Gap in Big Data: Getting to Wellbeing, Strengths, and a Whole-person Perspective

Progress and trends in neurological disorders research based on deep learning

Discovering Modes of an Image Population through Mixture Modeling

Personalized Health Care and Public Health in the Digital Age

Prediction of Recurrent Ischemic Stroke Using Registry Data and Machine Learning Methods: The Erlangen Stroke Registry

AI-based prediction for the risk of coronary heart disease among patients with type 2 diabetes mellitus

An explainable knowledge distillation method with XGBoost for ICU mortality prediction

Predictive Modelling of Critical Vital Signs in ICU Patients by Machine Learning: An Early Warning System for Improved Patient Outcomes

Nonlinear Functional Modeling Using Neural Networks

Scope of Medical Bots in Clinical Domain

The tenth annual MLSP competition: Schizophrenia classification challenge

Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling

Twenty-Five Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: Comprehensive Review

Adversarial Machine Learning in Recommender Systems (AML-RecSys)

Process Outcome Prediction: CNN vs. LSTM (with Attention)

Machine learning models to detect social distress, spiritual pain, and severe physical psychological symptoms in terminally ill patients with cancer from unstructured text data in electronic medical records

A triethnic comparison of intracerebral hemorrhage mortality in Texas

Utilizing natural language processing and large language models in the diagnosis and prediction of infectious diseases: A systematic review

Algorithmic Fairness of Machine Learning Models for Alzheimer Disease Progression