arXiv (All)
open access
Data-Driven Modeling and Predictive Control of Chronic Diseases: An Ulcerative Colitis Application
The clinical management of chronic disease is naturally structured as a feedback control problem. Physicians observe the disease state at clinic visits and make decisions based on the patient's history and current state. We propose a framework that models the dynamics of chronic disease in response
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
- A Study to Investigate the Safety and Tolerability of Multiple Study Interventions in Participants With Moderate to Severe Ulcerative Colitis#1243989
- Modeling ROI in chronic disease management: a simulation-based framework integrating patient adherence and policy timing#1116140
- Improving the Quality of Care for Adults With Inflammatory Bowel Disease#966784
- IBD-OPERA Database, UC Protocol#1152357
- Prediction tools to prioritise hospitalised adult patients at risk of drug related problems: An umbrella review.#437288
Record · ID 1199516
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