Conceptio › Archive › SJSU ScholarWorks
SJSU ScholarWorks metadata only

Personalized Seizure Risk Forecasting via Transformer-Enhanced Reinforcement Learning With Wearable Signals

Kapadia, Mayank et al.
SJSU ScholarWorks · Papers
Open Source ↗
epilepsyexplainable-aipersonalizationreinforcement-learningwearable-sensors
Epileptic seizures are one of the most common neurological disorders worldwide, yet accurate prediction remains a major challenge to date. Existing techniques largely rely on either electroencephalography (EEG) or neuroimaging and use a one-size-fits-all paradigm with limited personalization. Wearab
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 1081911
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