Alle Papers – Machine Learning im Gesundheitswesen

Large language models-powered clinical decision support: enhancing or replacing human expertise?

Dimensionality Reduction based on SHAP Analysis: A Simple and Trustworthy Approach

Predictive analytics in the era of big data: opportunities and challenges

A systematic review on intracranial aneurysm and hemorrhage detection using machine learning and deep learning techniques

Development and verification of prediction models for preventing cardiovascular diseases

Machine learning models for decision support in epilepsy management: A critical review

Exchanging personal health data with electronic health records: A standardized information model for patient generated health data and observations of daily living

Innovations in chronic care delivery using data-driven clinical pathways.

Early Prediction of Lung Diseases

Sepsis mortality prediction with the Quotient Basis Kernel

Genome-wide Association Study of Dimensional Psychopathology Using Electronic Health Records

Phase-Type Survival Trees and Mixed Distribution Survival Trees for Clustering Patients' Hospital Length of Stay

Explainable AI toward understanding the performance of the top three TADPOLE Challenge methods in the forecast of Alzheimer’s disease diagnosis

Textual analysis and visualization of research trends in data mining for electronic health records

Machine Learning Readmission Risk Modeling: A Pediatric Case Study

COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiology

Prediction Accuracy With Electronic Medical Records Versus Administrative Claims

Analyzing Patient Secure Messages Using a Fast Health Care Interoperability Resources (FIHR)–Based Data Model: Development and Topic Modeling Study

Structured clinical documentation in the electronic medical record to improve quality and to support practice‐based research in epilepsy

Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records

Personalized Health Knowledge Graph.

Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease

DGCL: Distance-wise and Graph Contrastive Learning for medication recommendation

Predicting Elderly Cardiac Patients at Risk for Readmission

Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories