{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:3RH5QTATIO4RE6Y6VB7QECUX2I","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":"66b2e36f221c1b37ee9c1b3541ae14dc47805eccd5ea818a852e079b5914e410","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-05-20T11:04:58Z","title_canon_sha256":"50cd157930e7cbe4fa4e5b9d75f76e2408276d25d6aba21e2adfb33ebf0f46c6"},"schema_version":"1.0","source":{"id":"2105.09670","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2105.09670","created_at":"2026-07-05T02:41:55Z"},{"alias_kind":"arxiv_version","alias_value":"2105.09670v1","created_at":"2026-07-05T02:41:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2105.09670","created_at":"2026-07-05T02:41:55Z"},{"alias_kind":"pith_short_12","alias_value":"3RH5QTATIO4R","created_at":"2026-07-05T02:41:55Z"},{"alias_kind":"pith_short_16","alias_value":"3RH5QTATIO4RE6Y6","created_at":"2026-07-05T02:41:55Z"},{"alias_kind":"pith_short_8","alias_value":"3RH5QTAT","created_at":"2026-07-05T02:41:55Z"}],"graph_snapshots":[{"event_id":"sha256:a80d569ddc02d430f2be04b2ab90ff9e93ee924e33ff92e6acb9cb3b6f3cbcbb","target":"graph","created_at":"2026-07-05T02:41:55Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2105.09670/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Background: Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardiography (2D-STE) features and seven clinical features to predict whether one has CHD. Methods: We develop a machine learning approach that integrates a number of popular classification methods together by model stacking, and generalize the traditional stacking method to a two-step stacking method to improve the diagnostic performance. Results: By borrowing strengths from multip","authors_text":"Chenguang Yang, Fang Wang, Huimin Cheng, Huolan Zhu, Jingyi Zhang, Wenxuan Zhong, Yi Li, Yongkai Chen","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-05-20T11:04:58Z","title":"Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2105.09670","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:ad84474604a8332a263d7885a56bf56cbb5ada4d67181e820a665f55197fe272","target":"record","created_at":"2026-07-05T02:41:55Z","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":"66b2e36f221c1b37ee9c1b3541ae14dc47805eccd5ea818a852e079b5914e410","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2021-05-20T11:04:58Z","title_canon_sha256":"50cd157930e7cbe4fa4e5b9d75f76e2408276d25d6aba21e2adfb33ebf0f46c6"},"schema_version":"1.0","source":{"id":"2105.09670","kind":"arxiv","version":1}},"canonical_sha256":"dc4fd84c1343b9127b1ea87f020a97d202eb0d87e968666b3159de6ec57a54d3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dc4fd84c1343b9127b1ea87f020a97d202eb0d87e968666b3159de6ec57a54d3","first_computed_at":"2026-07-05T02:41:55.776966Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:41:55.776966Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zRR7VJmYe4Kzrk5sWHNNYIbikAL/6xbfTPsEpinAj22y1LtFlvmkd0iBt2cRJi79rScTt1BS0divCt/hhzK+Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:41:55.777370Z","signed_message":"canonical_sha256_bytes"},"source_id":"2105.09670","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad84474604a8332a263d7885a56bf56cbb5ada4d67181e820a665f55197fe272","sha256:a80d569ddc02d430f2be04b2ab90ff9e93ee924e33ff92e6acb9cb3b6f3cbcbb"],"state_sha256":"ea4b747e87b9f114a3580cc77e5a0a11f574bcde46300581e84a56ec7b356625"}