arXiv (All)
open access
Learning Who Benefits Most: Multi-Treatment Causal Ranking for Population Health Stratification
Population health stratification frameworks, such as the Italian DM77, organize patients by clinical need and care pathways but offer limited guidance on which care changes to prioritize under constrained resources. We present PROMETHEUS (Proactive Resource Optimization through Multi-treatment Eff
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
- Signature of the Risk Profile of Mortality in a Hospital Cohort of Patients With Metabolic Diseases#844089
- Exposure-based stratification of postoperative complications in major cardiac surgical procedures: a retrospective cohort study using the MOVER database.#1220912
- Misaligned Clinical Risk Classification and Cost Asymmetry in Open-Weight Large Language Models#1050188
- Development of a recommendation system and data analysis in personalized medicine: an approach towards healthy vascular ageing#948022
- Implementation of risk prediction and stratification approaches for ageing populations in Australian healthcare: a systematic review.#464993
Record · ID 1354467
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