Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 304 von 400
Use of Electronic Health Records by Older Adults, 85 Years and Older, and Their Caregivers
Online and distributed Bayesian moment matching for parameter learning in sum-product networks
Connectionist models in medicine: an investigation of their potential
TCGA-Reports: A machine-readable pathology report resource for benchmarking text-based AI models
Discovering hidden information in biosignals from patients using artificial intelligence
A Review of Deep Transfer Learning and Recent Advancements
The Treatment Episode Data Set (TEDS)
Deep Attention Model for Triage of Emergency Department Patients
An unsupervised neural network approach to medical data mining techniques
Synergy of physics-based reasoning and machine learning in biomedical applications: towards unlimited deep learning with limited data
Evaluation Metrics in Explainable Artificial Intelligence (XAI)
Deep Learning Identifies Intelligible Predictors of Poor Prognosis in Chronic Kidney Disease
A survey on effects of adding explanations to recommender systems
Can GPT-3.5 generate and code discharge summaries?
ICDA: a platform for Intelligent Care Delivery Analytics.
Harmonizing units and values of quantitative data elements in a very large nationally pooled electronic health record (EHR) dataset
Population segmentation of type 2 diabetes mellitus patients and its clinical applications - a scoping review
Comparative effectiveness research and big data: balancing potential with legal and ethical considerations
Prediction of coronary artery disease risk based on multiple longitudinal biomarkers
Electronic Health Record-Based Deep Learning Prediction of Death or Severe Decompensation in Heart Failure Patients
Research Domain Criteria scores estimated through natural language processing are associated with risk for suicide and accidental death
Application Prospect of the SOFA Score and Related Modification Research Progress in Sepsis
Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks
Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond
On Evaluating Artificial Intelligence Systems for Medical Diagnosis