{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7VTW4WE6QMAN7FQCEOUWJXHMXX","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ec93867c12112641c9d065d8b70d0184c6249215f1564a5a761663ca1e871a04","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-27T19:00:07Z","title_canon_sha256":"28b7a7b71ad1b1e8e12061fe4b92513c63520afa2af9b2e0bcdd8565b6cf68ce"},"schema_version":"1.0","source":{"id":"1811.11190","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1811.11190","created_at":"2026-05-17T23:59:44Z"},{"alias_kind":"arxiv_version","alias_value":"1811.11190v1","created_at":"2026-05-17T23:59:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.11190","created_at":"2026-05-17T23:59:44Z"},{"alias_kind":"pith_short_12","alias_value":"7VTW4WE6QMAN","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7VTW4WE6QMAN7FQC","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7VTW4WE6","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:47c27f2d9cab321bbcfeeb7ed52d6e4bd50f9c813464a88ca81e6b027adcf08b","target":"graph","created_at":"2026-05-17T23:59:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"One primary task of population health analysis is the identification of risk factors that, for some subpopulation, have a significant association with some health condition. Examples include finding lifestyle factors associated with chronic diseases and finding genetic mutations associated with diseases in precision health. We develop a combined semantic and machine learning system that uses a health risk ontology and knowledge graph (KG) to dynamically discover risk factors and their associated subpopulations. Semantics and the novel supervised cadre model make our system explainable. Future ","authors_text":"Alexander New, Deborah L. McGuinness, John S. Erickson, Kristin P. Bennett, Sabbir M. Rashid","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-27T19:00:07Z","title":"Semantically-aware population health risk analyses"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.11190","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1eed147ad9373c5fa34933f80acdd498819b383a5558e0f072ca5e413d56ddc5","target":"record","created_at":"2026-05-17T23:59:44Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"ec93867c12112641c9d065d8b70d0184c6249215f1564a5a761663ca1e871a04","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-11-27T19:00:07Z","title_canon_sha256":"28b7a7b71ad1b1e8e12061fe4b92513c63520afa2af9b2e0bcdd8565b6cf68ce"},"schema_version":"1.0","source":{"id":"1811.11190","kind":"arxiv","version":1}},"canonical_sha256":"fd676e589e8300df960223a964dcecbdef225421f6411c187652780c1ae029a4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fd676e589e8300df960223a964dcecbdef225421f6411c187652780c1ae029a4","first_computed_at":"2026-05-17T23:59:44.503477Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:59:44.503477Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eUP4FniOKqGDFFrjLkN3opcwiR4f6rytBYmj/AJU57lKa5x8psQXMUzsJrfZZWE95L+aDlJTjxNVtfU/0Qz6Bg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:59:44.503962Z","signed_message":"canonical_sha256_bytes"},"source_id":"1811.11190","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1eed147ad9373c5fa34933f80acdd498819b383a5558e0f072ca5e413d56ddc5","sha256:47c27f2d9cab321bbcfeeb7ed52d6e4bd50f9c813464a88ca81e6b027adcf08b"],"state_sha256":"7695aa7626c746d3a49ed3329f8bb458c8b9e66b3158c7bfcd628ebdffcc6350"}