ClinicalTrials.gov
public full text
Public Domain
Towards A Better Paradigm for Head and Neck Cancer Treatment Applying Artificial Intelligence. HNC-TACTIC.
artificial-intelligenceelectronic-health-recordshead-and-neck-cancerhnsccimmunotherapynatural-language-processingoverall-survival
This will be an international, multicenter, retrospective, observational, and data-driven study using secondary data captured in EHRs. The extraction of the data captured in the EHRs will be performed with SAVANA's EHRead®, an innovative data-driven system based on Natural Language Processing (NLP) and machine learning. For all patients, the Index Date is defined as the timepoint within the study period when they fulfill ALL inclusion criteria and no exclusion criteria. Follow-up comprises the period between Index Date and the last EHR available within the study period. Additional variable-specific time windows may be considered to optimize data collection.
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
- Toward a Better Paradigm for Head and Neck Cancer Treatment Applying AI (HNC-TACTIC): Protocol for an International Cohort Study of Electronic Health Records.#368116
- Temporal Variability in Diagnosis Code Distributions Across Extraction Time Points in a Multicenter Integrated EHR Database: A Snapshot Comparison Study.#437305
- ZD 1839 in Treating Patients With Metastatic or Recurrent Cancer of the Head and Neck#1164060
- Effects of Oral Levosimendan on Respiratory Function in Patients With Amyotrophic Lateral Sclerosis (ALS): Open-Label Extension#1075337
- eHealth Support Tool to Improve Quality of Life in Head and Neck Cancer Survivors#1113187
Record · ID 1320655
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