{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:MVOEGCA7XAJ3WWCQSDRK66RWBC","short_pith_number":"pith:MVOEGCA7","schema_version":"1.0","canonical_sha256":"655c43081fb813bb585090e2af7a3608ab9f381aab57801e3cbeaaea82d3c0ac","source":{"kind":"arxiv","id":"1110.0641","version":1},"attestation_state":"computed","paper":{"title":"Identifying relationships between drugs and medical conditions: winning experience in the Challenge 2 of the OMOP 2010 Cup","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.AP"],"primary_cat":"stat.ML","authors_text":"Vladimir Nikulin","submitted_at":"2011-10-04T11:17:04Z","abstract_excerpt":"There is a growing interest in using a longitudinal observational databases to detect drug safety signal. In this paper we present a novel method, which we used online during the OMOP Cup. We consider homogeneous ensembling, which is based on random re-sampling (known, also, as bagging) as a main innovation compared to the previous publications in the related field. This study is based on a very large simulated database of the 10 million patients records, which was created by the Observational Medical Outcomes Partnership (OMOP). Compared to the traditional classification problem, the given da"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1110.0641","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-10-04T11:17:04Z","cross_cats_sorted":["cs.CV","stat.AP"],"title_canon_sha256":"ba06b35045b271df0a7af282bf996912da00341ec266742b0ccd1b807d4d58f7","abstract_canon_sha256":"ab25bb0821f892eb80632b1880877c624e5b2b3c8e30e75e78c44ddefe783667"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:11:41.281630Z","signature_b64":"wOY3oPYUuwnYNXsiOptGLqtjdSoxt+myfoc4NkbELGoEcflqpMAZhhjpsyrDvnpXef1U3qWGbs9P4lABnCkxBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"655c43081fb813bb585090e2af7a3608ab9f381aab57801e3cbeaaea82d3c0ac","last_reissued_at":"2026-05-18T04:11:41.281088Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:11:41.281088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Identifying relationships between drugs and medical conditions: winning experience in the Challenge 2 of the OMOP 2010 Cup","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","stat.AP"],"primary_cat":"stat.ML","authors_text":"Vladimir Nikulin","submitted_at":"2011-10-04T11:17:04Z","abstract_excerpt":"There is a growing interest in using a longitudinal observational databases to detect drug safety signal. In this paper we present a novel method, which we used online during the OMOP Cup. We consider homogeneous ensembling, which is based on random re-sampling (known, also, as bagging) as a main innovation compared to the previous publications in the related field. This study is based on a very large simulated database of the 10 million patients records, which was created by the Observational Medical Outcomes Partnership (OMOP). Compared to the traditional classification problem, the given da"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1110.0641","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1110.0641","created_at":"2026-05-18T04:11:41.281169+00:00"},{"alias_kind":"arxiv_version","alias_value":"1110.0641v1","created_at":"2026-05-18T04:11:41.281169+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1110.0641","created_at":"2026-05-18T04:11:41.281169+00:00"},{"alias_kind":"pith_short_12","alias_value":"MVOEGCA7XAJ3","created_at":"2026-05-18T12:26:37.096874+00:00"},{"alias_kind":"pith_short_16","alias_value":"MVOEGCA7XAJ3WWCQ","created_at":"2026-05-18T12:26:37.096874+00:00"},{"alias_kind":"pith_short_8","alias_value":"MVOEGCA7","created_at":"2026-05-18T12:26:37.096874+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MVOEGCA7XAJ3WWCQSDRK66RWBC","json":"https://pith.science/pith/MVOEGCA7XAJ3WWCQSDRK66RWBC.json","graph_json":"https://pith.science/api/pith-number/MVOEGCA7XAJ3WWCQSDRK66RWBC/graph.json","events_json":"https://pith.science/api/pith-number/MVOEGCA7XAJ3WWCQSDRK66RWBC/events.json","paper":"https://pith.science/paper/MVOEGCA7"},"agent_actions":{"view_html":"https://pith.science/pith/MVOEGCA7XAJ3WWCQSDRK66RWBC","download_json":"https://pith.science/pith/MVOEGCA7XAJ3WWCQSDRK66RWBC.json","view_paper":"https://pith.science/paper/MVOEGCA7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1110.0641&json=true","fetch_graph":"https://pith.science/api/pith-number/MVOEGCA7XAJ3WWCQSDRK66RWBC/graph.json","fetch_events":"https://pith.science/api/pith-number/MVOEGCA7XAJ3WWCQSDRK66RWBC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MVOEGCA7XAJ3WWCQSDRK66RWBC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MVOEGCA7XAJ3WWCQSDRK66RWBC/action/storage_attestation","attest_author":"https://pith.science/pith/MVOEGCA7XAJ3WWCQSDRK66RWBC/action/author_attestation","sign_citation":"https://pith.science/pith/MVOEGCA7XAJ3WWCQSDRK66RWBC/action/citation_signature","submit_replication":"https://pith.science/pith/MVOEGCA7XAJ3WWCQSDRK66RWBC/action/replication_record"}},"created_at":"2026-05-18T04:11:41.281169+00:00","updated_at":"2026-05-18T04:11:41.281169+00:00"}