Matrix and Graphical Representation of Primary Headache Syndromes in ICHD3

A matrix representation of primary headache diagnoses from the International Classification of Headache Disorders (ICHD3). The dataset encodes headache phenotypes and characteristics as a binary matrix, enabling automated diagnosis and analysis. It was created by Pengfei Zhang and last updated on 2026-05-11.

Use Cases

• Automated diagnosis of headache disorders based on encoded ICHD3 criteria.
• Graph-based analysis of relationships between headache phenotypes and characteristics.
• Dimensionality reduction and basis vector analysis of headache diagnostic space.
• Systematic investigation of diagnostic fragmentation within headache classifications.

Strengths

• Derived from the ICHD3, described as the gold standard for headache research.
• Enables three specific analytical methods: bipartite projection, Markov clustering, and row reduction as described.
• The matrix representation reduces the classification to 63 basis vectors, providing a defined feature space.

Limitations

• Dataset size is only 51.2 KB, indicating very limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

Manual translation of ICHD3 diagnostic criteria into binary matrix form.

Freshness

Last updated 2026-05-11 14:55:37; freshness should be verified.