Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 287 von 400
Expert systems in psychiatry
Multilayer Perceptron Neural Network with Arithmetic Optimization Algorithm-Based Feature Selection for Cardiovascular Disease Prediction
The clinical usefulness of prognostic prediction models in critical illness
Synthea™ Novel coronavirus (COVID-19) model and synthetic data set
Healthcare cost prediction: Leveraging fine-grain temporal patterns
An AI based digital-twin for prioritising pneumonia patient treatment
Personalized Recommendations for Physical Activity e-Coaching (OntoRecoModel): Ontological Modeling
Forest-Based Point Process for Event Prediction from Electronic Health Records
Dr ChatGPT, tell me what I want to hear: How prompt knowledge impacts health answer correctness
CoPE
The AI Future of Emergency Medicine
Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM
Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment
Privacy‐preserving federated data access and federated learning: Improved data sharing and <scp>AI</scp> model development in transfusion medicine
Synthetizing Published Evidence on Survival by Reconstruction of Patient-Level Data and Generation of a Multi-Trial Kaplan-Meier Curve
A Medical-History-Based Potential Disease Prediction Algorithm
Federated and distributed learning applications for electronic health records and structured medical data: a scoping review
Semantic Clustering of Category Fluency in Schizophrenia Examined with Singular Value Decomposition
Multi-Task Learning for Randomized Controlled Trials
Procedure prediction from symbolic Electronic Health Records via time intervals analytics
KFPredict: An ensemble learning prediction framework for diabetes based on fusion of key features
Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods
Application of supervised machine learning algorithms for classification and prediction of type-2 diabetes disease status in Afar regional state, Northeastern Ethiopia 2021
Detecting Unplanned Care From Clinician Notes in Electronic Health Records
Automated Machine Learning and Explainable AI (AutoML-XAI) for Metabolomics: Improving Cancer Diagnostics