NCBI PubMed Central
open access
Interpretable machine learning text classification for clinical computed tomography reports – a case study of temporal bone fracture.
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
- Advancing AI radiology: Validating non-invasive CT-derived bone models for machine learning#1166562
- Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury#239124
- Trial for the Early Identification of Acute Kidney Injury#993705
- Explainable Plasma Proteomics-Based Machine Learning for Osteoporosis Diagnosis, Prognosis, and Protein Biomarker Discovery in the UK Biobank.#621048
- Established Machine Learning Matches Tabular Foundation Models in Clinical Predictions#422479
Record · ID 154537
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