NCBI PubMed Central
open access
Optimization of hospital resource scheduling efficiency based on dynamic weighted distance anomaly detection algorithm.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Erciyes Üniversitesi Hastanesi'nde Ameliyathane Çizelgeleme [Operating Room Scheduling at Erciyes University Hospital]#1149049
- Conditional anomaly detection methods for patient-management alert systems#175257
- Trustworthy and ethical intrusion detection for healthcare internet of medical things using reinforcement learning and governance rules.#469391
- Examination of Anomaly Process Detection Using Negative Selection Algorithm and Classification Techniques#72742
- Can We Predict Anomaly Detection Performance from Embedding-Space Geometry?#1062351
Record · ID 227875
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive