Alle Papers – Machine Learning im Gesundheitswesen

Machine learning in cardiology: Clinical application and basic research

Revolutionizing Chronic Kidney Disease Management with Machine Learning and Artificial Intelligence

Strategies to Address the Lack of Labeled Data for Supervised Machine Learning Training With Electronic Health Records: Case Study for the Extraction of Symptoms From Clinical Notes

Development of a Natural Language Processing System for Extracting Rheumatoid Arthritis Outcomes From Clinical Notes Using the National Rheumatology Informatics System for Effectiveness Registry

Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining

Mining on Alzheimer’s diseases related knowledge graph to identity potential AD-related semantic triples for drug repurposing

Robust and Efficient Medical Imaging with Self-Supervision

Adopting artificial intelligence in cardiovascular medicine: a scoping review

Explainable artificial intelligence-driven gestational diabetes mellitus prediction using clinical and laboratory markers

Quantifying and Mitigating Privacy Risks of Contrastive Learning

Too Many Definitions of Sepsis: Can Machine Learning Leverage the Electronic Health Record to Increase Accuracy and Bring Consensus?

EHR2Vec: Representation Learning of Medical Concepts From Temporal Patterns of Clinical Notes Based on Self-Attention Mechanism

Deep Models of Interactions Across Sets

Application of the Diagnosis Procedure Combination (DPC) Data to Clinical Studies

A Novel Deep Similarity Learning Approach to Electronic Health Records Data

Several Categories of Large Language Models (LLMs): A Short Survey

Knowledge-based dynamic prompt learning for multi-label disease diagnosis

Natural Language Processing of Clinical Notes for Improved Early Prediction of Septic Shock in the ICU

AI-Based Natural Language Processing for the Generation of Meaningful Information Electronic Health Record (EHR) Data

Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies

A Deep-Big Data Approach to Health Care in the AI Age

Performance testing of several classifiers for differentiating obstructive lung diseases based on texture analysis at high-resolution computerized tomography (HRCT)

3D-CNN-SPP: A Patient Risk Prediction System From Electronic Health Records via 3D CNN and Spatial Pyramid Pooling

RETRACTED ARTICLE: Effective heart disease prediction using improved particle swarm optimization algorithm and ensemble classification technique

Medical prescription classification: a NLP-based approach