Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 296 von 400
Discretized Integrated Gradients for Explaining Language Models
Predicting drug-disease interactions by semi-supervised graph cut algorithm and three-layer data integration
Learning Biomarker Models for Progression Estimation of Alzheimer’s Disease
Reinforcement-based denoising of distantly supervised NER with partial annotation
Research on diagnosis-related group grouping of inpatient medical expenditure in colorectal cancer patients based on a decision tree model
TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records
A tamper-proof audit and control system for the doctor in the loop
À la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge
The Usability of Electronic Medical Record Systems Implemented in Sub-Saharan Africa: A Literature Review of the Evidence
Prediction of serious outcomes based on continuous vital sign monitoring of high-risk patients
Highly Parallel Autoregressive Entity Linking with Discriminative Correction
Decoding Artificial Intelligence to Achieve Diagnostic Excellence
Automatic Disease Annotation From Radiology Reports Using Artificial Intelligence Implemented by a Recurrent Neural Network
Cognitive function in diabetes mellitus: The effects of duration of illness and glycaemic control
Explainable AI for Chiller Fault-Detection Systems: Gaining Human Trust
Privacy-preserving data cube for electronic medical records: An experimental evaluation
Automated extraction of sudden cardiac death risk factors in hypertrophic cardiomyopathy patients by natural language processing
Alzheimer’s disease digital biomarkers multidimensional landscape and AI model scoping review
Predicting next-day discharge via electronic health record access logs
Approximate inference for medical diagnosis
Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health
Effective Study of Machine Learning Algorithms for Heart Disease Prediction
A knowledge infused context driven dialogue agent for disease diagnosis using hierarchical reinforcement learning
Interpretability, personalization and reliability of a machine learning based clinical decision support system
Evaluating resampling methods and structured features to improve fall incident report identification by the severity level