{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:J3G2VFAK3CNAMD5IM3ETJWNXBJ","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":"6d85dd3c6933b75524e7cbda2a125620fd629be629e0770c77fdf22359e5319a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-09-04T19:29:49Z","title_canon_sha256":"cb95f5d568fae685c3f74c49936e036f9fe52d4546779b143f9b4a181b855e13"},"schema_version":"1.0","source":{"id":"1809.08988","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.08988","created_at":"2026-05-17T23:54:02Z"},{"alias_kind":"arxiv_version","alias_value":"1809.08988v2","created_at":"2026-05-17T23:54:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.08988","created_at":"2026-05-17T23:54:02Z"},{"alias_kind":"pith_short_12","alias_value":"J3G2VFAK3CNA","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_16","alias_value":"J3G2VFAK3CNAMD5I","created_at":"2026-05-18T12:32:31Z"},{"alias_kind":"pith_short_8","alias_value":"J3G2VFAK","created_at":"2026-05-18T12:32:31Z"}],"graph_snapshots":[{"event_id":"sha256:7a072de96a375db1825bca4b860a560a5135afc8a8cdb0898d63fb2e70e17b33","target":"graph","created_at":"2026-05-17T23:54:02Z","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":"We propose a categorical matrix factorization method to infer latent diseases from electronic health records (EHR) data in an unsupervised manner. A latent disease is defined as an unknown biological aberration that causes a set of common symptoms for a group of patients. The proposed approach is based on a novel double feature allocation model which simultaneously allocates features to the rows and the columns of a categorical matrix. Using a Bayesian approach, available prior information on known diseases greatly improves identifiability and interpretability of latent diseases. This includes","authors_text":"Peter Mueller, Yang Ni, Yuan Ji","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-09-04T19:29:49Z","title":"Bayesian Double Feature Allocation for Phenotyping with Electronic Health Records"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.08988","kind":"arxiv","version":2},"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":"sha256:98fc8b45f049209b0bb85c4bfaaaa4ee408c83ffafde3396829f2929180eea07","target":"record","created_at":"2026-05-17T23:54:02Z","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":"6d85dd3c6933b75524e7cbda2a125620fd629be629e0770c77fdf22359e5319a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2018-09-04T19:29:49Z","title_canon_sha256":"cb95f5d568fae685c3f74c49936e036f9fe52d4546779b143f9b4a181b855e13"},"schema_version":"1.0","source":{"id":"1809.08988","kind":"arxiv","version":2}},"canonical_sha256":"4ecdaa940ad89a060fa866c934d9b70a78b73b84ee5a34f79e5e44894b58d733","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ecdaa940ad89a060fa866c934d9b70a78b73b84ee5a34f79e5e44894b58d733","first_computed_at":"2026-05-17T23:54:02.566482Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:02.566482Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"twFr/CmEEkH0h1BOOygW2xCZvwbsnrdiQ9rU0O4D3UrcI6kwDUB07dzrGzOEkjxePZQv+rPDVbMZGMHIw2l2Ag==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:02.566972Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.08988","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:98fc8b45f049209b0bb85c4bfaaaa4ee408c83ffafde3396829f2929180eea07","sha256:7a072de96a375db1825bca4b860a560a5135afc8a8cdb0898d63fb2e70e17b33"],"state_sha256":"88737d7f5a0930bdea630c22d44ee00f385f90377e033af3e68157f63b12b5b7"}