Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 212 von 400
MB-GAN: Microbiome Simulation via Generative Adversarial Network
Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia
A Machine Learning-based Framework to Identify Type 2 Diabetes through Electronic Health Records
Deep learning for named entity recognition on Chinese electronic medical records: Combining deep transfer learning with multitask bi-directional LSTM RNN
An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions
Comparative Analysis of Machine Learning Algorithms for Early Prediction of Diabetes Mellitus in Women
Prediction of postoperative complications of pediatric cataract patients using data mining
Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis
Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning
Introducing big data analysis using data from National Health Insurance Service
A framework for feature extraction from hospital medical data with applications in risk prediction
Latent variable discovery in classification models
Ensemble artificial neural networks applied to predict the key risk factors of hip bone fracture for elders
Analysis of disease comorbidity patterns in a large-scale China population
Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting
A LASSO-derived risk model for long-term mortality in Chinese patients with acute coronary syndrome
Rate of forgetting in H.M.: 6-month recognition.
Efficient In-Database Patient Similarity Analysis for Personalized Medical Decision Support Systems
Machine Learning in Medicine
Big Data and the Electronic Health Record
De-identification algorithm for free-text nursing notes
Customization scenarios for de-identification of clinical notes
Clinical decision support systems: Potential with pitfalls
Early temporal prediction of Type 2 Diabetes Risk Condition from a General Practitioner Electronic Health Record: A Multiple Instance Boosting Approach
Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study