Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 311 von 400
Machine Learning Models for Early Prediction of Sepsis on Large Healthcare Datasets
Comparison of Severity of Illness Scores and Artificial Intelligence Models That Are Predictive of Intensive Care Unit Mortality: Meta-analysis and Review of the Literature
Time is of the Essence
A Survey on Various Classification Techniques for Clinical Decision Support System
A large-scale dataset of patient summaries for retrieval-based clinical decision support systems
Ontologies, Knowledge Representation, and Machine Learning for Translational Research: Recent Contributions
The use of big data in transfusion medicine
Evaluating risk-prediction models using data from electronic health records
Using Medical Data and Clustering Techniques for a Smart Healthcare System
Hybrid feature selection and classification technique for early prediction and severity of diabetes type 2
Why Attention is Not Explanation: Surgical Intervention and Causal Reasoning about Neural Models.
Diagnostic Decision Support Systems: How to Determine the Gold Standard?
Prediction of survival of ICU patients using computational intelligence
Deep learning from multiple experts improves identification of amyloid neuropathologies
A new analytical framework for missing data imputation and classification with uncertainty: Missing data imputation and heart failure readmission prediction
The influence of electronic health record design on usability and medication safety: systematic review
Labeling for Big Data in radiation oncology: The Radiation Oncology Structures ontology
Defining major depressive disorder cohorts using the EHR: Multiple phenotypes based on ICD-9 codes and medication orders
AI-based tool for early detection of Alzheimer's disease
A model for predicting fall risks of hospitalized elderly in Taiwan-A machine learning approach based on both electronic health records and comprehensive geriatric assessment
Identifying Acute Low Back Pain Episodes in Primary Care Practice From Clinical Notes: Observational Study
Adversarial Network-Based Classification for Alzheimer’s Disease Using Multimodal Brain Images: A Critical Analysis
Leveraging artificial intelligence in neurosurgery—unveiling ChatGPT for neurosurgical discharge summaries and operative reports
Large language models can support generation of standardized discharge summaries – A retrospective study utilizing ChatGPT-4 and electronic health records
Detecting adverse drug events with multiple representations of clinical measurements