ICHD-3 Primary Headache Syndromes Represented as a Diagnostic Matrix

A matrix representation of primary headache diagnoses from the International Classification of Headache Disorders (ICHD-3). The dataset encodes headache phenotypes and diagnostic characteristics as a biadjacency matrix for automated analysis. It was created by Pengfei Zhang and published on figshare under a CC-BY-4.0 license.

Use Cases

• Automated headache diagnosis based on logical criteria encoded in the matrix
• Graphical analysis of relationships between headache phenotypes and characteristics based on the bipartite projection
• Clustering headache subtypes based on the Markov clustering results described
• Dimensionality reduction analysis using the 63 basis vectors identified through row reduction

Strengths

• Directly encodes the gold-standard ICHD-3 classification criteria
• Enables mathematical operations like row reduction, identifying 63 basis vectors
• Results include specific cluster counts, such as 64 clusters from Markov clustering

Limitations

• Dataset is very small (2.6 KB), indicating limited scope
• Row count and column-level documentation are unknown
• Focus is exclusively on primary headaches, excluding secondary headache types

Provenance

Source

figshare

Collection Method

Manual translation of ICHD-3 diagnostic criteria into true/false statements to construct a matrix.

Freshness

Last updated 2026-05-11 14:55:36