IRIS
metadata only
Time-Stamped Annotations in High-Frequency Physiological Data: Evaluating an Approach for Assessing Annotation Plausibility in the CENTER-TBI Dataset
Background/objective: High-resolution neuromonitoring data with time-stamped clinical annotations offer valuable insights into treatment responses, though reliability is limited by manual documentation. This study aims to develop and demonstrate a three-step methodological framework to evaluate the
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
- Improving Sleep, Sleep-related Outcomes, and Biomarkers in Veterans#892811
- Simultaneous FMRI and NIRS to Estimate Brain Cerebral Metabolism#888587
- Automatic longitudinal assessment of brain metastases improves detection of disease progression.#15170
- MMTClinic: Multimodal, Multilingual Time Series Question Answering and Reasoning Benchmark for Clinical Domain#971507
- Establish a Specific Cohort Database for Depressive Disorders#834312
Record · ID 1066536
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