Alle Papers – Machine Learning im Gesundheitswesen

Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data

Early Prediction of Seven-Day Mortality in Intensive Care Unit Using a Machine Learning Model: Results from the SPIN-UTI Project

Evaluation of ChatGPT’s responses to information needs and information seeking of dementia patients

Prediction and classification of obesity risk based on a hybrid metaheuristic machine learning approach

Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record

Association of a wide range of individual chronic diseases and their multimorbidity with brain volumes in the UK Biobank: A cross-sectional study

Variationally regularized graph-based representation learning for electronic health records

A multifactor approach to student model evaluation

All Patient Refined-Diagnosis Related Groups’ (APR-DRGs) Severity of Illness and Risk of Mortality as predictors of in-hospital mortality

Causal knowledge graph construction and evaluation for clinical decision support of diabetic nephropathy

A Comparative Study of Machine Learning Techniques for Early Prediction of Diabetes

Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification

Regional Tree Regularization for Interpretability in Deep Neural Networks

Clustering Insomnia Patterns by Data From Wearable Devices: Algorithm Development and Validation Study

Healthcare Data Integration and Informatics in the Cloud

Explainable Deep Learning Models in Medical Image Analysis

Ensemble method based predictive model for analyzing disease datasets: a predictive analysis approach

Multi-View Integrative Attention-Based Deep Representation Learning for Irregular Clinical Time-Series Data

Time event ontology (TEO): to support semantic representation and reasoning of complex temporal relations of clinical events

Machine learning-based prediction of in-ICU mortality in pneumonia patients

A Machine Learning Analysis of Health Records of Patients With Chronic Kidney Disease at Risk of Cardiovascular Disease

An Assisted Diagnosis Model for Cancer Patients Based on Federated Learning

COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

Using UMLS for electronic health data standardization and database design

Performance Comparison of Random Forest Classifier and Convolution Neural Network in Predicting Heart Diseases