Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 356 von 400
Emergency Physicians' Perceived Influence of EHR Use on Clinical Workflow and Performance Metrics
The translation of in-house imaging AI research into a medical device ensuring ethical and regulatory integrity
An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction
Automated Identification of Patients With Immune-Related Adverse Events From Clinical Notes Using Word Embedding and Machine Learning
A Machine Learning Perspective for Predicting Chronic Kidney Disease
Automated peritoneal dialysis: analysis of several methods of peritoneal dialysis.
Prediction of Liver Disease Using Grouping of Machine Learning Classifiers
Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records
AutoTransfer: Instance Transfer for Cross-Domain Recommendations
An intelligent environment for preventing medication errors in home treatment
Event Prediction Model Considering Time and Input Error Using Electronic Medical Records in the Intensive Care Unit: Retrospective Study
Framework for identifying drug repurposing candidates from observational healthcare data
ESANN'1997 proceedings - European Symposium on Artificial Neural Networks
Weakly supervised temporal model for prediction of breast cancer distant recurrence
Diagnostic Accuracy of Artificial Intelligence in Virtual Primary Care
Towards Learning Disentangled Representations for Time Series
Hybrid Predictive Models: When an Interpretable Model Collaborates with a Black-box Model
Machine Learning for Biomedical Time Series Classification: From Shapelets to Deep Learning
Exploring the role of ChatGPT in clinical decision-making in otorhinolaryngology: a ChatGPT designed study
DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Privacy-preserving harmonization via distributed ComBat
Fuzzy-Logic-Based Screening and Prediction of Adult Psychoses: A Novel Approach
Interoperable medical data: The missing link for understanding COVID‐19
Diagnosing adaptive comanagement across multiple cases
Applications of and issues with machine learning in medicine: Bridging the gap with explainable AI