Conceptio › Archive › bioRxiv / medRxiv
bioRxiv / medRxiv open access

From National Data to Local Evaluation: Benchmarking Machine Learning Models for Perioperative Risk Prediction

Ding, Z. et al.
bioRxiv / medRxiv · Papers
Open Source ↗
surgery
Whether newer modeling approaches improve perioperative risk prediction is unclear. Holding 73 prespecified preoperative variables fixed -- 69 observed and used as tabular inputs, all 73 serialized to text -- we benchmarked six tabular model families and three pretrained clinical text-encoder embedd
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

Record · ID 1278917
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