Data Sheet 9_Matrix and graphical representation of the primary headache syndromes in the

A matrix representation of primary headache diagnoses from the International Classification of Headache Disorders (ICHD-3) encodes phenotypes and characteristics as true/false statements. The analysis yields 63 basis vectors spanning the headache phenotype space and identifies 64 clusters via Markov clustering, demonstrating the mathematical structure of the classification. Author Pengfei Zhang published this 19.2 KB PDF document under a CC-BY-4.0 license on figshare.

Use Cases

• Automating headache diagnosis based on logical criteria encoded in a matrix.
• Analyzing relationships between headache phenotypes and characteristics using bipartite projection.
• Investigating the fragmentation of specific diagnoses (e.g., paroxysmal hemicrania into 9 clusters) via Markov clustering.
• Exploring the 63-dimensional vector space representation of headache syndromes for systematic research.

Strengths

• Derived from the ICHD-3, the gold standard for headache classification in clinical trials and research.
• Provides a mathematical framework yielding 63 basis vectors and 64 clusters for analysis.
• Explicitly lists key characteristics used, including duration, frequency, aura, and associated symptoms.

Limitations

• The dataset is a 19.2 KB PDF; the underlying matrix data is not provided in a machine-readable format.
• Row count and column-level documentation are unknown, limiting suitability assessment.
• Focus is limited to primary headache syndromes, excluding secondary headaches.

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 14:55:33; freshness should be verified.