Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 209 von 400
Forecasting Future Asthma Hospital Encounters of Patients With Asthma in an Academic Health Care System: Predictive Model Development and Secondary Analysis Study
Early Prediction of Cardiac Arrest (Code Blue) using Electronic Medical Records
eSource for clinical trials: Implementation and evaluation of a standards-based approach in a real world trial
Mainzelliste SecureEpiLinker (MainSEL): privacy-preserving record linkage using secure multi-party computation
Evaluating the effect of data standardization and validation on patient matching accuracy
Disease named entity recognition from biomedical literature using a novel convolutional neural network
The Use of Electronic Computers to Aid in Medical Diagnosis
EHRs connect research and practice: Where predictive modeling, artificial intelligence, and clinical decision support intersect
Temporal Pattern and Association Discovery of Diagnosis Codes Using Deep Learning
Statistics and Deep Belief Network-Based Cardiovascular Risk Prediction
Disease Concept-Embedding Based on the Self-Supervised Method for Medical Information Extraction from Electronic Health Records and Disease Retrieval: Algorithm Development and Validation Study
GUESS: projecting machine learning scores to well-calibrated probability estimates for clinical decision-making
Analysis in HUGIN of data conflict
Symptom severity prediction from neuropsychiatric clinical records: Overview of 2016 CEGS N-GRID shared tasks Track 2
Neural network analysis of preoperative variables and outcome in epilepsy surgery
A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data
Employing artificial intelligence techniques in Mental Health Diagnostic Expert System
A Comparison of Deep Learning Methods for ICD Coding of Clinical Records
Modeling mortality in the intensive care unit: comparing the performance of a back-propagation, associative-learning neural network with multivariate logistic regression.
Learning Neural Causal Models from Unknown Interventions
Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records.
A guide to prompt design: foundations and applications for healthcare simulationists
Privacy-Preserving Deep Learning NLP Models for Cancer Registries
Development of an Explainable Prediction Model of Heart Failure Survival by Using Ensemble Trees
Toward analyzing and synthesizing previous research in early prediction of cardiac arrest using machine learning based on a multi-layered integrative framework