Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 217 von 400
Chasing Your Long Tails
Development and validation of a heart failure with preserved ejection fraction cohort using electronic medical records
Generative AI: A Review on Models and Applications
Extending the Flexible Parametric Survival Model for Competing Risks
Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine
Human centred explainable AI decision-making in healthcare
On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Chronic Obstructive Pulmonary Disease heterogeneity: challenges for health risk assessment, stratification and management
Disease Prediction by Machine Learning from Healthcare Communities
FasTag: Automatic text classification of unstructured medical narratives
Prediction of Gestational Diabetes by Machine Learning Algorithms
Identifying and Predicting Intentional Self-Harm in Electronic Health Record Clinical Notes: Deep Learning Approach
Heart Disease Prognosis Using Machine Learning Classification Techniques
Ensemble learning with explainable AI for improved heart disease prediction based on multiple datasets
An Artificial Intelligence-Assisted Method for Dementia Detection Using Images from the Clock Drawing Test
CODE-EHR best practice framework for the use of structured electronic healthcare records in clinical research
The neural hype, justified!
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead
Added Value of Intraoperative Data for Predicting Postoperative Complications: The MySurgeryRisk PostOp Extension
Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification
Long Short-Term Memory Recurrent Neural Network for Stroke Prediction
Harnessing the Power of Large Language Models (LLMs) for Electronic Health Records (EHRs) Optimization
Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach
Localized Supervised Metric Learning on Temporal Physiological Data