Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 305 von 400
Effectiveness of LODS, OASIS, and SAPS II to predict in-hospital mortality for intensive care patients with ST elevation myocardial infarction
An approach for Personalized Continuous Glucose Prediction with Regression Trees
The OpenDeID corpus for patient de-identification
A benchmarking crisis in biomedical machine learning
Symptom-based patient stratification in mental illness using clinical notes
Memory-Based Model Editing at Scale
Detection of Depression Severity in Social Media Text Using Transformer-Based Models
Towards Privacy-Preserving Deep Learning based Medical Imaging Applications
Automated coded ambulatory problem lists: evaluation of a vocabulary and a data entry tool
Weighting Primary Care Patient Panel Size: A Novel Electronic Health Record-Derived Measure Using Machine Learning
Applied picture fuzzy sets with knowledge reasoning and linguistics in clinical decision support system
Clinically adaptable machine learning model to identify early appreciable features of diabetes
On the Ethical and Epistemological Utility of Explicable AI in Medicine
Artificial intelligence in health care: preparing for the fifth Industrial Revolution
Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India
Feature extraction for phenotyping from semantic and knowledge resources
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning
Diversified Shifts in the Cross Talk between Members of the Gut Microbiota and Development of Coronary Artery Diseases
Novel Approach to Inpatient Fall Risk Prediction and Its Cross-Site Validation Using Time-Variant Data
Machine learning approach for predicting cardiovascular disease in Bangladesh: evidence from a cross-sectional study in 2023
The potential of Generative Pre-trained Transformer 4 (GPT-4) to analyse medical notes in three different languages: a retrospective model-evaluation study
On predictions in critical care: The individual prognostication fallacy in elderly patients
Big Data in Cardiology: State-of-Art and Future Prospects
Generation of synthetic EEG data for training algorithms supporting the diagnosis of major depressive disorder
Predicting hospital associated disability from imbalanced data using supervised learning