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Table · dataset · 2026

Health Claims Corpus (HCC) v1.0: 55.5 Million Automatically Extracted Disease–Factor Records, 2010–2026, with Linked PubMed Metadata

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<p>The Health Claims Corpus (HCC) v1.0 contains 55,545,265 automatically extracted disease–factor records linked to 25,981,473 source document identifiers.

Description

A row represents an automated extraction record, not an independently verified clinical finding.</p><p>The release includes five linked datasets: extraction records, source-document metadata, disease–factor pair summaries, disease-term summaries and factor-term summaries.

Variables cover assigned relation and direction labels, epistemic stance, inferred study categories, assigned evidence categories and matched publication metadata. Dated records span 2010–2026, with undated records supplied separately; 2026 is incomplete.</p><p>Potential research uses include extraction evaluation, terminology normalization, exploratory networks and descriptive analysis of the extracted corpus. Researchers should validate labels and account for changing source coverage before drawing substantive conclusions.

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The data do not measure population disease incidence or establish causal effects.</p><p>Important limitations: automated labels have not been independently validated; disease and factor terms are free text and can contain extraction errors; matched PubMed metadata does not verify individual extraction records; sentence offsets and source quotations are not supplied. The sample is illustrative, not statistically representative.

Read VALIDATION_STATUS.md and the codebook before analysis.</p><p>Produced by <a href="fliarbi.com">Fliar BI</a>. This is the same HCC v1.0 release submitted to Harvard Dataverse under reserved identifier 10.7910/DVN/CICSTQ; that submission was under review when this package was prepared. Repository deposit does not constitute peer review.</p>

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75% · Text 75%
Provenance · 1 source records, 20 field assertions
SourceKeyLast seenRaw
figshareoai:figshare.com:article/3375233210 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · figshare comconnector:figshare_com@1.0.0
concepts[disease].local:disease:diseaseenrichment · figshare comkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:field:420308mapping · figshare comvocabulary-mapper@1.0.0keywords['Health informatics and information systems']
concepts[field].anzsrc:field:460208mapping · figshare comvocabulary-mapper@1.0.0keywords['Natural language processing']
concepts[field].local:field:astronomymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:chemistrymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:computer-science-aimapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:economics-financemapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:engineeringmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:humanitiesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:life-sciencesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:medicine-healthmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:social-sciencemapping · figshare comconnector:figshare_com@1.0.0
concepts[modality].local:modality:textenrichment · figshare comkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · figshare comconnector:figshare_com@1.0.0/metadata/dc/description
licensesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/rights
publication_datesource · figshare comconnector:figshare_com@1.0.0
titlesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/title