A matrix representation of primary headache diagnoses from the International Classification of Headache Disorders (ICHD3). The dataset encodes headache phenotypes and their diagnostic characteristics as a binary matrix to enable automated analysis. It was created by Pengfei Zhang and last updated in May 2026.
Use Cases
- Automated diagnosis of headache disorders based on logical criteria encoded in the matrix.
- Graphical network analysis of relationships between headache phenotypes and diagnostic characteristics.
- Dimensionality reduction analysis to identify basis vectors spanning the headache phenotype space.
- Systematic investigation of associations between specific headache diagnoses like chronic migraine and their defining features.
Strengths
- Dataset is derived from the ICHD3, described as the gold standard for headache research.
- The matrix representation enables mathematical operations like row reduction, which identified 63 basis characteristics.
- Analysis methods like bipartite projection and Markov clustering were applied, yielding 64 clusters of headache phenotypes.
Limitations
- Dataset size is only 2.6 KB, indicating a very limited scope of data.
- Row count and column-level documentation are unknown, requiring manual inspection after download.
- The data is a derived, logical representation, not raw clinical patient records.
Provenance
- Source
- International Classification of Headache Disorders (ICHD3)
- Collection Method
- Logical translation of ICHD3 diagnostic criteria into true/false statements, encoded as a binary matrix.
- Freshness
- Last updated 2026-05-11 14:55:37