ICHD3 Primary Headache Syndromes Represented as a Diagnostic Matrix

Pengfei Zhang published a dataset on figshare in May 2026 representing primary headache syndromes from the International Classification of Headache Disorders (ICHD3) in matrix form. The 42.5 KB CSV file encodes headache phenotypes and diagnostic characteristics as a binary matrix. This mathematical representation enables automated diagnosis and analysis of the classification criteria.

Use Cases

• Automated headache diagnosis based on logical criteria encoded in the matrix.
• Analyzing relationships between headache phenotypes and characteristics using bipartite projection.
• Clustering headache diagnoses via Markov clustering to understand diagnostic fragmentation.
• Representing headache diagnoses in a 63-dimensional vector space for mathematical modeling.

Strengths

• The dataset is derived directly from the ICHD3, the gold standard for headache classification.
• The matrix representation enables specific computational analyses, such as bipartite projection and Markov clustering.
• The dataset is small (42.5 KB), making it easy to download and process.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The dataset's scope is limited to primary headache diagnoses from ICHD3.
• Data freshness should be verified as the last update is dated in the future (2026-05-11).

Provenance

Source

figshare

Collection Method

Logical translation of ICHD3 diagnostic criteria into true/false statements, encoded as a binary matrix.

Freshness

Last updated 2026-05-11 14:55:34