Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 267 von 400
Realization of a service for the long-term risk assessment of diabetes-related complications
DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation
Informing antimicrobial stewardship with explainable AI
DiGAN Breakthrough: Advancing diabetic data analysis with innovative GAN-based imbalance correction techniques
Fast machine learning annotation in the medical domain: a semi-automated video annotation tool for gastroenterologists
Reducing variations in multi-center Alzheimer’s disease classification with convolutional adversarial autoencoder
Heart Disease Prediction using Ensemble ML
Applying methodology to electronic medical record selection
Artificial-Intelligence-Based Hospital-Acquired Infection Control
Evaluating Evaluations of Medical Diagnostic Systems
MITRE: inferring features from microbiota time-series data linked to host status
Automatic speech analysis to early detect functional cognitive decline in elderly population
A Survey of Clinicians' Views of the Utility of Large Language Models
Predicting adult neuroscience intensive care unit admission from emergency department triage using a retrospective, tabular-free text machine learning approach
The application of artificial intelligence in the management of sepsis
Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach
Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions
Performance of ChatGPT as an AI-assisted decision support tool in medicine: a proof-of-concept study for interpreting symptoms and management of common cardiac conditions (AMSTELHEART-2)
Can ChatGPT Evaluate Plans?
Mortality Prediction in the ICU Based on MIMIC-II Results from the Super ICU Learner Algorithm (SICULA) Project
Temporal Self-Attention Network for Medical Concept Embedding
Refining a Bayesian Network using a Chain Event Graph
Cancer-disease associations: A visualization and animation through medical big data
A decision support system to follow up and diagnose primary headache patients using semantically enriched data
Mining FDA drug labels for medical conditions