rows { options { physical_type: PHYSICAL_STREAM_TYPE_QUADS max_name_table_size: 128 max_prefix_table_size: 16 max_datatype_table_size: 16 logical_type: LOGICAL_STREAM_TYPE_DATASETS version: 2 } } rows { prefix { value: "https://w3id.org/np/" } } rows { name { value: "RAxoz9oUqqGpGIJZ_3tr6z19m921_FdYVWQlHNmVFIEHI" } } rows { namespace { name: "this" value { prefix_id: 1 } } } rows { prefix { value: "https://w3id.org/np/RAxoz9oUqqGpGIJZ_3tr6z19m921_FdYVWQlHNmVFIEHI/" } } rows { name { } } rows { namespace { name: "sub" value { prefix_id: 2 } } } rows { prefix { value: "http://www.nanopub.org/nschema#" } } rows { namespace { name: "np" value { prefix_id: 3 name_id: 2 } } } rows { prefix { value: "http://purl.org/dc/terms/" } } rows { namespace { name: "dct" value { prefix_id: 4 name_id: 2 } } } rows { prefix { value: "https://w3id.org/np/o/ntemplate/" } } rows { namespace { name: "nt" value { prefix_id: 5 name_id: 2 } } } rows { prefix { value: "http://purl.org/nanopub/x/" } } rows { namespace { name: "npx" value { prefix_id: 6 name_id: 2 } } } rows { prefix { value: "http://www.w3.org/2001/XMLSchema#" } } rows { namespace { name: "xsd" value { prefix_id: 7 name_id: 2 } } } rows { prefix { value: "http://www.w3.org/2000/01/rdf-schema#" } } rows { namespace { name: "rdfs" value { prefix_id: 8 name_id: 2 } } } rows { prefix { value: "https://orcid.org/" } } rows { namespace { name: "orcid" value { prefix_id: 9 name_id: 2 } } } rows { prefix { value: "http://www.w3.org/ns/prov#" } } rows { namespace { name: "prov" value { prefix_id: 10 name_id: 2 } } } rows { name { value: "hasAssertion" } } rows { name { value: "assertion" } } rows { name { value: "Head" } } rows { quad { s_iri { prefix_id: 1 name_id: 1 } p_iri { prefix_id: 3 name_id: 3 } o_iri { prefix_id: 2 } g_iri { } } } rows { name { value: "hasProvenance" } } rows { name { value: "provenance" } } rows { quad { p_iri { prefix_id: 3 } o_iri { prefix_id: 2 } } } rows { name { value: "hasPublicationInfo" } } rows { name { value: "pubinfo" } } rows { quad { p_iri { prefix_id: 3 } o_iri { prefix_id: 2 } } } rows { prefix { value: "http://www.w3.org/1999/02/22-rdf-syntax-ns#" } } rows { name { value: "type" } } rows { name { value: "Nanopublication" } } rows { quad { p_iri { prefix_id: 11 } o_iri { prefix_id: 3 } } } rows { prefix { value: "https://ieeexplore.ieee.org/document/" } } rows { name { value: "10564463" } } rows { name { value: "description" } } rows { quad { s_iri { prefix_id: 12 } p_iri { prefix_id: 4 } o_literal { lex: "This research investigates the impact of missing data on the performance of machine learning algorithms, with a particular focus on the MIMIC-IV dataset. This project aims to investigate the extent to which missing data negatively impacts the training of machine learning algorithms, and whether demographic groups with a higher proportion of missing data (i.e.,ethnicity) have lower predictive accuracy. Using advanced machine learning and data analysis techniques, the results highlight important considerations related to missing data in medical datasets and provide useful insights for improving predictive modeling and decision support systems in clinical practice offers." } g_iri { prefix_id: 2 name_id: 4 } } } rows { prefix { value: "http://semanticscience.org/resource/" } } rows { name { value: "SIO_001066" } } rows { quad { p_iri { prefix_id: 11 name_id: 10 } o_iri { prefix_id: 13 name_id: 14 } } } rows { name { value: "label" } } rows { quad { p_iri { prefix_id: 8 } o_literal { lex: "Addressing the Challenge of Missing Medical Data in Healthcare Analytics: A Focus on Machine Learning Predictions for ICU Length of Stay" } } } rows { name { value: "seeAlso" } } rows { quad { p_iri { } o_iri { prefix_id: 12 name_id: 12 } } } rows { prefix { value: "https://schema.org/" } } rows { name { value: "about" } } rows { prefix { value: "http://www.wikidata.org/entity/" } } rows { name { value: "Q1916557" } } rows { quad { p_iri { prefix_id: 14 name_id: 17 } o_iri { prefix_id: 15 } } } rows { name { value: "Q2539" } } rows { quad { o_iri { } } } rows { name { value: "wasAttributedTo" } } rows { name { value: "0009-0008-8411-2742" } } rows { quad { s_iri { prefix_id: 2 name_id: 4 } p_iri { prefix_id: 10 name_id: 20 } o_iri { prefix_id: 9 } g_iri { prefix_id: 2 name_id: 7 } } } rows { name { value: "hasLabelFromApi" } } rows { quad { s_iri { prefix_id: 15 name_id: 18 } p_iri { prefix_id: 5 name_id: 22 } o_literal { lex: "medical database - type of database" } g_iri { prefix_id: 2 name_id: 9 } } } rows { quad { s_iri { prefix_id: 15 name_id: 19 } o_literal { lex: "machine learning - scientific study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions" } } } rows { name { value: "created" } } rows { datatype { value: "http://www.w3.org/2001/XMLSchema#dateTime" } } rows { quad { s_iri { prefix_id: 1 name_id: 1 } p_iri { prefix_id: 4 name_id: 23 } o_literal { lex: "2025-10-15T15:48:51.761Z" datatype: 1 } } } rows { name { value: "creator" } } rows { quad { p_iri { } o_iri { prefix_id: 9 name_id: 21 } } } rows { name { value: "license" } } rows { prefix { value: "https://creativecommons.org/licenses/by/4.0/" } } rows { quad { p_iri { prefix_id: 4 name_id: 25 } o_iri { prefix_id: 16 name_id: 2 } } } rows { name { value: "hasNanopubType" } } rows { quad { p_iri { prefix_id: 6 name_id: 26 } o_iri { prefix_id: 13 name_id: 14 } } } rows { name { value: "introduces" } } rows { quad { p_iri { prefix_id: 6 name_id: 27 } o_iri { prefix_id: 12 name_id: 12 } } } rows { name { value: "wasCreatedAt" } } rows { prefix { id: 7 value: "https://nanodash.knowledgepixels.com/" } } rows { quad { p_iri { prefix_id: 6 name_id: 28 } o_iri { prefix_id: 7 name_id: 2 } } } rows { name { value: "wasCreatedFromProvenanceTemplate" } } rows { name { value: "RA7lSq6MuK_TIC6JMSHvLtee3lpLoZDOqLJCLXevnrPoU" } } rows { quad { p_iri { prefix_id: 5 name_id: 29 } o_iri { prefix_id: 1 } } } rows { name { value: "wasCreatedFromPubinfoTemplate" } } rows { name { value: "RA0J4vUn_dekg-U1kK3AOEt02p9mT2WO03uGxLDec1jLw" } } rows { quad { p_iri { prefix_id: 5 } o_iri { prefix_id: 1 } } } rows { name { value: "RAukAcWHRDlkqxk7H2XNSegc1WnHI569INvNr-xdptDGI" } } rows { quad { o_iri { } } } rows { name { value: "wasCreatedFromTemplate" } } rows { name { value: "RA_-u1WDZMlRI3wB8qu_dmae6WSz0PKEF8h6jV1tpxOIk" } } rows { quad { p_iri { prefix_id: 5 } o_iri { prefix_id: 1 } } } rows { name { value: "sig" } } rows { name { value: "hasAlgorithm" } } rows { quad { s_iri { prefix_id: 2 } p_iri { prefix_id: 6 } o_literal { lex: "RSA" } } } rows { name { value: "hasPublicKey" } } rows { quad { p_iri { } o_literal { lex: "MIIBIjANBgkqhkiG9w0BAQEFAAOCAQ8AMIIBCgKCAQEAxzr6UBGMW6c8tegz0babaledWUEQ0PLDE4tp7Iinbe2DZtAtY5JUptKYuStWDZx+QER4808P8dejNWRnBDzgthYJm/AyNSXflHSJhz2+NC+h7RylOLxbwLEQocmyKKiYxa2gT85m6ajVL2M6TnfG67nnK+K2f7iCGL6wYXRITD1q+7+5SWqBdDXIV921W4IKWaD2GJk+NRBoOqQhbsrk8Tn5XsNd7DMYVHk47oMDGbeBnrOIoRPsbBgAcoCsxxhiB9yN6Lf8EUbnlXVEDzJuZk048L1BDZL+6nkA8btTQGP2ijUFWA7rTrod3LjUDQWLZS95njjl867dtmv/znYkzwIDAQAB" } } } rows { name { value: "hasSignature" } } rows { quad { p_iri { } o_literal { lex: "s4pdJyMEOX321UlwXzhNHWL6C1aEodKOIO0XzTOQ7P3WdREPackbBqFjUqXTmKvLGVpPyaD3DTJBITOSro5tq5bmJuMEplzAT4CsAJCN+QGLhKmqVDdd38NQA6OMNgcQBIohdXJbWFb8mAg9WpFngUsohR3fZWax6GAg/u9vDj3qT2Whr0+ouHhFVzHEiwDpXfWXCH/vLXDmHTP71AA9heuujhVouhUqrikFTUU12A2zveQDbQlfTjnkjOgnh49wbvMHun3hHHDUk98G+4MlIWJIt0Oql/Y5r046ez+oTnGeKBpu9Jqy3cr3P1HVwysM4vNsObVIbojuRJJtzlZtOA==" } } } rows { name { value: "hasSignatureTarget" } } rows { quad { p_iri { } o_iri { prefix_id: 1 name_id: 1 } } } rows { name { value: "signedBy" } } rows { quad { p_iri { prefix_id: 6 name_id: 41 } o_iri { prefix_id: 9 name_id: 21 } } }