Home ›
Entities
› academia
› Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning
Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning
Research article (Heliyon, 2024) · cited 31× · AI/ML
Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning
Summary
Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning is a scholarly article[1].
Key Facts
Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-of-an-improved-graph-based-model-for-real-time-anomaly-detection-in-healthcare-using-hybrid-cnn-lstm-and-federate
MLA“Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-of-an-improved-graph-based-model-for-real-time-anomaly-detection-in-healthcare-using-hybrid-cnn-lstm-and-federate.
BibTeX@misc{4ortxyz_design-of-an-improved-graph-based-model-for-real-time-anomaly-detection-in-healthcare-using-hybrid-cnn-lstm-and-federate_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning}}, year = {2026}, url = {https://4ort.xyz/entity/design-of-an-improved-graph-based-model-for-real-time-anomaly-detection-in-healthcare-using-hybrid-cnn-lstm-and-federate}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning — https://4ort.xyz/entity/design-of-an-improved-graph-based-model-for-real-time-anomaly-detection-in-healthcare-using-hybrid-cnn-lstm-and-federate (retrieved 2026-05-24)
