Alle Papers – Machine Learning im Gesundheitswesen

Computational Drug Repositioning Using Continuous Self-Controlled Case Series

Merging Electronic Health Record Data and Genomics for Cardiovascular Research

The Promise of Machine Learning: When Will it be Delivered?

Ontology-based feature engineering in machine learning workflows for heterogeneous epilepsy patient records

Machine Learning based Malaria Prediction using Clinical Findings

Perception of artificial intelligence-based solutions in healthcare among people with and without diabetes: A cross-sectional survey from the health in Central Denmark cohort

Knowledge-based biomedical Data Science

Early identification of bloodstream infection in hemodialysis patients by machine learning

Deep Learning for Cancer Symptoms Monitoring on the Basis of Electronic Health Record Unstructured Clinical Notes

Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction

Can generative AI reliably synthesise literature? exploring hallucination issues in ChatGPT

Statistics for a Diagnostic Model

Clinical Decision Support System for Diabetic Patients by Predicting Type 2 Diabetes Using Machine Learning Algorithms

Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks

Predicting Postoperative Mortality With Deep Neural Networks and Natural Language Processing: Model Development and Validation

A Multinomial Modeling Analysis of Memory Deficits in Alzheimer's Disease and Vascular Dementia

Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation

Real-world data mining meets clinical practice: Research challenges and perspective

Multimodal data-driven, vertical visualization prediction model for early prediction of atherosclerotic cardiovascular disease in patients with new-onset hypertension

Self-fulfilling prophecies and machine learning in resuscitation science

A new approach to training back‐propagation artificial neural networks: empirical evaluation on ten data sets from clinical studies

Deep Learning for Medical Applications with Unique Data

Comparison of Machine Learning Algorithms for Predicting Hospital Readmissions and Worsening Heart Failure Events in Patients With Heart Failure With Reduced Ejection Fraction: Modeling Study

The present and future role of artificial intelligence and machine learning in anesthesiology

Comorbidity Patterns of Older Lung Cancer Patients in Northeast China: An Association Rules Analysis Based on Electronic Medical Records