Alle Papers – Machine Learning im Gesundheitswesen

The “Alzheimer's Type” Profile of Semantic Clustering in Amnestic Mild Cognitive Impairment

Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes

BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk

Informative presence bias in analyses of electronic health records-derived data: a cautionary note

Privacy-first health research with federated learning

Significance of external validation in clinical machine learning: let loose too early?

Dermacen analytica: A novel methodology integrating multi-modal large language models with machine learning in dermatology

Gut Microbes Meet Machine Learning: The Next Step towards Advancing Our Understanding of the Gut Microbiome in Health and Disease

AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction

Federated pretraining and fine tuning of BERT using clinical notes from multiple silos

Concept Graph Neural Networks for Surgical Video Understanding

Developing a hypertension visualization risk prediction system utilizing machine learning and health check-up data

Leveraging Artificial Intelligence and Synthetic Data Derivatives for Spine Surgery Research

Learning to Revise References for Faithful Summarization

Detecting Adverse Drug Events Using Concept Hierarchies of Clinical Codes

Survey on Type 2 Diabetes Prediction Using Machine Learning

Text Mining and Big Data Analytics for Retrospective Analysis of Clinical Texts from Outpatient Care

Prediction of Liver Diseases Based on Machine Learning Technique for Big Data

Enhancing Precision in Detecting Severe Immune-Related Adverse Events: Comparative Analysis of Large Language Models and International Classification of Disease Codes in Patient Records

Diagnostic Reasoning of High - and Low - domain-knowledge Clinicians

Construction and evaluation of <scp>FiND</scp>, a fall risk prediction model of inpatients from nursing data

In-hospital resource utilization prediction from electronic medical records with deep learning

Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health

Comparison of Prediction Model Performance Updating Protocols: Using a Data-Driven Testing Procedure to Guide Updating.

Physicians’ Perspectives on AI in Clinical Decision Support Systems: Interview Study of the CURATE.AI Personalized Dose Optimization Platform