Alle Papers – Machine Learning im Gesundheitswesen

Analyze Informant-Based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning

Mortality risk prediction of the electrocardiogram as an informative indicator of cardiovascular diseases

Self-attention Enhanced Patient Journey Understanding in Healthcare System

Pairwise feature-based generative adversarial network for incomplete multi-modal Alzheimer’s disease diagnosis

{DEEPVSA}: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis

Decoding the language of microbiomes using word-embedding techniques, and applications in inflammatory bowel disease

Analyzing Large Language Models’ Responses to Common Lumbar Spine Fusion Surgery Questions: A Comparison Between ChatGPT and Bard

Predicting in-hospital all-cause mortality in heart failure using machine learning

Stabilized sparse ordinal regression for medical risk stratification

Mining Big Data in biomedicine and health care

Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks

Is Digital Epidemiology the Future of Clinical Epidemiology?

Artificial Intelligence in Health Informatics: Hype or Reality?

Using Unsupervised Machine Learning Methods to Cluster Comorbidities in a Population‐Based Cohort of Patients With Rheumatoid Arthritis

Collaborative learning based on associative models: Application to pattern classification in medical datasets

Implications of Big Data Analytics on Population Health Management

Performance Assessments of Diagnostic Systems Under the FROC Paradigm

Machine learning-based assessment of diabetes risk

The foundational capabilities of large language models in predicting postoperative risks using clinical notes

Medical Image Retrieval Using Multi-graph Learning for MCI Diagnostic Assistance

Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging

Prediction of Early Symptom Remission in Two Independent Samples of First-Episode Psychosis Patients Using Machine Learning

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models

A novel DL-based algorithm integrating medical knowledge graph and doctor modeling for Q&A pair matching in OHP

Machine Learning-Based Prediction of Atrial Fibrillation Risk Using Electronic Medical Records in Older Aged Patients