Springer Nature OA
open access
CC BY-NC-ND 4.0
Personalized prediction of initial valproic acid dose in children with epilepsy using machine learning techniques
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 translational multimodal machine-learning prototype predicting valproate response in epilepsy treatment.#615755
- A translational multimodal machine‐learning prototype predicting valproate response in epilepsy treatment#485261
- Monitoring of dual-drug combination therapy in pediatric epilepsy patients: a machine learning model for simultaneous VPA-LEV concentration-dose prediction.#165629
- Efficacy Study of Intravenous Sodium Valproate in Addition to First Line Anti Epileptic Treatment of Generalized Convulsive Status Epilepticus.#913125
- SCN2A Polymorphisms Are Associated With Response to Valproic Acid in Paediatric Population(Pakistan)#1111878
Record · ID 182804
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