NCBI PubMed Central
open access
Developing and validating a sequence-aware deep learning model for infection risk prediction in home care.
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
- Deep learning-based in-hospital mortality prediction using long-term sequential data in ICU patients: a multi-center validation study.#618161
- Benchmarking Machine Learning Architectures for Antimicrobial Stewardship in Pediatric ICUs#1122458
- Research on the Risk Warning Model and Prevention Strategies for Acute Kidney Injury Associated With Cyclosporine Based on Explainable Deep Neural Networks and Therapeutic Drug Monitoring#1073089
- Machine Learning in the ICU: Predicting Mortality in Bloodstream Infections (ICU:Intensive Care Unit)#855047
- Application of machine learning and artificial intelligence methods for predicting antimicrobial resistance#10777
Record · ID 1251989
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