NCBI PubMed Central
open access
survkl: an R package for transfer-learning-based integrated Cox models.
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
- Dynamic prediction intervals for survival times#997294
- DynSHAP: Towards Explainable Dynamic Survival Analysis#1070546
- Learning response-aware patient dynamics for respiratory support#1117113
- Discovery and Validation of Biomarkers for CSA-AKI Risk Prediction#825433
- Foundation models and deep learning for cancer drug response prediction: a framework for data, metrics, and validation.#209382
Record · ID 630815
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