Alle Papers – Machine Learning im Gesundheitswesen
104.164 Papers insgesamt · Seite 325 von 400
Ensemble Learning Models Based on Noninvasive Features for Type 2 Diabetes Screening: Model Development and Validation
Bigger Data, Harder Questions—Opportunities Throughout Mental Health Care
Identifying unreliable predictions in clinical risk models
Time-series analysis in the medical domain: A study of Tacrolimus administration and influence on kidney graft function
Standard NER Tagging Scheme for Big Data Healthcare Analytics Built on Unified Medical Corpora
Entity and relation extraction from clinical case reports of COVID-19: a natural language processing approach
Comparative Study of Heart Failure Using the Approach of Machine Learning and Deep Neural Networks
Computational Medicine in Data Mining and Modeling
Manifold-based Shapley explanations for high dimensional correlated features
A cross-domain recommender system through information transfer for medical diagnosis
A C-index for Recurrent Event Data: Application to Hospitalizations among Dialysis Patients
Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method
[Retracted] An Effective Machine Learning‐Based Model for an Early Heart Disease Prediction
Estimation of age in unidentified patients via chest radiography using convolutional neural network regression
Prediction of Cardiovascular Disease on Self-Augmented Datasets of Heart Patients Using Multiple Machine Learning Models
A disease network-based recommender system framework for predictive risk modelling of chronic diseases and their comorbidities
Current Trends And Practices In Smart Health Monitoring And Clinical Decision Support
Explainable AI Frameworks: Navigating the Present Challenges and Unveiling Innovative Applications
A Swiss Army Infinitesimal Jackknife
Construction of a semi-automated ICD-10 coding help system to optimize medical and economic coding.
Identifying patients with asthma in primary care electronic medical record systems Chart analysis-based electronic algorithm validation study.
Competitive/collaborative neural computing system for medical diagnosis in pancreatic cancer detection
Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning
Assessing seizure burden in pediatric epilepsy using an electronic medical record–based tool through a common data element approach
Artificial Neural Networks and Machine Learning – ICANN 2023