Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 219 von 400
Quantitating and assessing interoperability between electronic health records
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Applying Deep Learning to Predicting Dementia and Mild Cognitive Impairment
A Deep Language Model for Symptom Extraction From Clinical Text and its Application to Extract COVID-19 Symptoms From Social Media
Nonparametric machine learning for precision medicine with longitudinal clinical trials and Bayesian additive regression trees with mixed models
Temporal convolutional networks allow early prediction of events in critical care
Artificial intelligence in endocrinology: a comprehensive review
A Novel Deep Neural Network Model for Multi-Label Chronic Disease Prediction
A Hierarchical Memory Network for Knowledge Tracing
Risk factors and prediction of very short term versus short/intermediate term post-stroke mortality: A data mining approach
Health Natural Language Processing: Methodology Development and Applications
Artificial intelligence in diabetes care
Towards Improved Design and Evaluation of Epileptic Seizure Predictors
The Drug Derived Complexity Index (DDCI) Predicts Mortality, Unplanned Hospitalization and Hospital Readmissions at the Population Level
Predicting Medications from Diagnostic Codes with Recurrent Neural Networks
Developing an FHIR-Based Computational Pipeline for Automatic Population of Case Report Forms for Colorectal Cancer Clinical Trials Using Electronic Health Records
A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records
The addition of decision support into computerized physician order entry reduces red blood cell transfusion resource utilization in the intensive care unit
Validation of an algorithm for automated classification of migraine and tension-type headache attacks in an electronic headache diary
Privacy-preserving and bandwidth-efficient federated learning
Large Language Models (LLMs) and Empathy – A Systematic Review
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
WindowSHAP: An efficient framework for explaining time-series classifiers based on Shapley values
The synergy of artificial intelligence and personalized medicine for the enhanced diagnosis, treatment, and prevention of disease
Toward Clinical Generative AI: Conceptual Framework