ClinicalTrials.gov
public full text
Public Domain
NLP Headache Speech (NLPH-SPEECH): a Cross-sectional Study on Natural Language Processing Analysing Spoken Monologues by Headache Patients
The research collects spoken descriptions of headache disorders by participants with headache disorders. The speech recordings are analyzed by natural language processing (NLP) tools to analyse linguistic properties of the texts and to obtain insight into the potential of NLP machine learning models for the recognition of headache syndromes of the participants.
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
- Speech-based Assessment of Relapse Risk in People With Psychosis#868925
- Machine Learning and Natural Language Processing in Mental Health: Systematic Review#335865
- PCQC: Privileged Counterfactual Question Credit for Multi-Turn Medical Dialogue#1064531
- AI in Mental Health: Innovations, Applications, and Ethical Considerations#119675
- Neural Integration of Affective Prosodic and Semantic Cues in Non-literal Forms of Speech Understanding#164896
Record · ID 982208
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