Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 372 von 400
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation
Analyzing health insurance claims on different timescales to predict days in hospital
Using type-2 fuzzy ontology to improve semantic interoperability for healthcare and diagnosis of depression
Modeling Clinical Time Series Using Gaussian Process Sequences
Predicting three-month fasting blood glucose and glycated hemoglobin changes in patients with type 2 diabetes mellitus based on multiple machine learning algorithms
A Perspective on a Quality Management System for AI/ML-Based Clinical Decision Support in Hospital Care
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
The Communicating Narrative Concerns Entered by Registered Nurses (CONCERN) Clinical Decision Support Early Warning System: Protocol for a Cluster Randomized Pragmatic Clinical Trial
Multi-level classification of Alzheimer disease using DCNN and ensemble deep learning techniques
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression
Prompt engineering: The next big skill in rheumatology research
Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression.
Detecting clinically significant events through automated language analysis: Quo imus?
Ontology-Driven Cardiovascular Decision Support System
A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics
A comprehensive review of explainable AI for disease diagnosis
Prediction model for cardiovascular disease in patients with diabetes using machine learning derived and validated in two independent Korean cohorts
Machine learning-based prediction of 1-year mortality for acute coronary syndrome✰
A classification approach to coreference in discharge summaries: 2011 i2b2 challenge
Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care
Prediction of progression from mild cognitive impairment to Alzheimer's disease with longitudinal and multimodal data
Understanding and improving fairness in cognitive diagnosis
A Framework for Public Health Monitoring, Analytics and Research
Nonclinical Features in Predictive Modeling of Cardiovascular Diseases: A Machine Learning Approach
Predicting the Prognosis of Patients in the Coronary Care Unit: A Novel Multi-Category Machine Learning Model Using XGBoost