{"id":"https://openalex.org/W2124996938","doi":"https://doi.org/10.1093/jamia/ocv016","title":"Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text","display_name":"Subgraph augmented non-negative tensor factorization (SANTF) for modeling clinical narrative text","publication_year":2015,"publication_date":"2015-04-09","ids":{"openalex":"https://openalex.org/W2124996938","doi":"https://doi.org/10.1093/jamia/ocv016","mag":"2124996938","pmid":"https://pubmed.ncbi.nlm.nih.gov/25862765"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocv016","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocv016","pdf_url":"https://academic.oup.com/jamia/article-pdf/22/5/1009/34146351/ocv016.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://academic.oup.com/jamia/article-pdf/22/5/1009/34146351/ocv016.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100452550","display_name":"Yuan Luo","orcid":"https://orcid.org/0000-0003-0195-7456"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yuan Luo","raw_affiliation_strings":["Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003076238","display_name":"Xin Yu","orcid":"https://orcid.org/0000-0002-0269-5649"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Xin","raw_affiliation_strings":["Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035186913","display_name":"Ephraim P. Hochberg","orcid":"https://orcid.org/0000-0001-9050-7208"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ephraim Hochberg","raw_affiliation_strings":["Center for Lymphoma, Massachusetts General Hospital and Department of Medicine, Harvard Medical School"],"affiliations":[{"raw_affiliation_string":"Center for Lymphoma, Massachusetts General Hospital and Department of Medicine, Harvard Medical School","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I4210087915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049731469","display_name":"Rohit Joshi","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rohit Joshi","raw_affiliation_strings":["Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070926324","display_name":"\u00d6zlem Uzuner","orcid":"https://orcid.org/0000-0001-8011-9850"},"institutions":[{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ozlem Uzuner","raw_affiliation_strings":["Department of Information Studies, State University of New York at Albany"],"affiliations":[{"raw_affiliation_string":"Department of Information Studies, State University of New York at Albany","institution_ids":["https://openalex.org/I392282"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006650843","display_name":"Peter Szolovits","orcid":"https://orcid.org/0000-0001-8411-6403"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Szolovits","raw_affiliation_strings":["Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100452550"],"corresponding_institution_ids":["https://openalex.org/I63966007"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":4.5272,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":{"value":0.95332001,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"5","first_page":"1009","last_page":"1019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10269","display_name":"Epigenetics and DNA Methylation","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10269","display_name":"Epigenetics and DNA Methylation","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9549000263214111,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9391999840736389,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7577654719352722},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6807401776313782},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6451788544654846},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.639491617679596},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5662487745285034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5501464605331421},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4955333471298218},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.46895450353622437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46676820516586304},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42916980385780334},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41758596897125244},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3842284679412842},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35264360904693604},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.34814244508743286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14377135038375854}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7577654719352722},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6807401776313782},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6451788544654846},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.639491617679596},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5662487745285034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5501464605331421},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4955333471298218},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.46895450353622437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46676820516586304},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42916980385780334},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41758596897125244},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3842284679412842},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35264360904693604},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.34814244508743286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14377135038375854},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069558","descriptor_name":"Unsupervised Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006689","descriptor_name":"Hodgkin Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006689","descriptor_name":"Hodgkin Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006689","descriptor_name":"Hodgkin Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006689","descriptor_name":"Hodgkin Disease","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D033262","descriptor_name":"Narration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033262","descriptor_name":"Narration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033262","descriptor_name":"Narration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D033262","descriptor_name":"Narration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocv016","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocv016","pdf_url":"https://academic.oup.com/jamia/article-pdf/22/5/1009/34146351/ocv016.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:25862765","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25862765","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:4986663","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4986663","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/jamia/ocv016","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocv016","pdf_url":"https://academic.oup.com/jamia/article-pdf/22/5/1009/34146351/ocv016.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7900000214576721}],"awards":[{"id":"https://openalex.org/G3736491172","display_name":null,"funder_award_id":"U54LM00874","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G8744663245","display_name":null,"funder_award_id":"U54LM008748","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2124996938.pdf","grobid_xml":"https://content.openalex.org/works/W2124996938.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W67471658","https://openalex.org/W73198697","https://openalex.org/W202643521","https://openalex.org/W313547275","https://openalex.org/W900993354","https://openalex.org/W1532325895","https://openalex.org/W1550258693","https://openalex.org/W1555694191","https://openalex.org/W1574901103","https://openalex.org/W1599615952","https://openalex.org/W1605230984","https://openalex.org/W1902027874","https://openalex.org/W1963826206","https://openalex.org/W1966331733","https://openalex.org/W1968154520","https://openalex.org/W1973825638","https://openalex.org/W1978469053","https://openalex.org/W1985644065","https://openalex.org/W1988386518","https://openalex.org/W1993589664","https://openalex.org/W2001082470","https://openalex.org/W2004734764","https://openalex.org/W2006454222","https://openalex.org/W2008255210","https://openalex.org/W2009202077","https://openalex.org/W2014426141","https://openalex.org/W2024165284","https://openalex.org/W2056967673","https://openalex.org/W2064208261","https://openalex.org/W2064299012","https://openalex.org/W2073844507","https://openalex.org/W2079196839","https://openalex.org/W2092423825","https://openalex.org/W2099694394","https://openalex.org/W2099962227","https://openalex.org/W2100582742","https://openalex.org/W2101815756","https://openalex.org/W2103106495","https://openalex.org/W2104827998","https://openalex.org/W2109317245","https://openalex.org/W2110509222","https://openalex.org/W2113359929","https://openalex.org/W2114847203","https://openalex.org/W2120077398","https://openalex.org/W2126552798","https://openalex.org/W2136787567","https://openalex.org/W2139865360","https://openalex.org/W2150926065","https://openalex.org/W2152061559","https://openalex.org/W2154790710","https://openalex.org/W2159636537","https://openalex.org/W2162311237","https://openalex.org/W2165685007","https://openalex.org/W2170516178","https://openalex.org/W2173884055","https://openalex.org/W2212667979","https://openalex.org/W2251450145","https://openalex.org/W2492507039","https://openalex.org/W2571268788","https://openalex.org/W4213009331","https://openalex.org/W4230962320","https://openalex.org/W6602992747","https://openalex.org/W6633248601","https://openalex.org/W6635812994","https://openalex.org/W6674917368","https://openalex.org/W6675158323","https://openalex.org/W6675713828","https://openalex.org/W6676359536","https://openalex.org/W6682542547","https://openalex.org/W6684960828","https://openalex.org/W6731448591","https://openalex.org/W7019666765"],"related_works":["https://openalex.org/W4385957992","https://openalex.org/W4229079080","https://openalex.org/W4206534706","https://openalex.org/W3185849119","https://openalex.org/W4385965371","https://openalex.org/W2167353662","https://openalex.org/W4386025632","https://openalex.org/W3006943036","https://openalex.org/W4386768608","https://openalex.org/W2133030781"],"abstract_inverted_index":{"SANTF":[0],"demonstrated":[1],"over":[2],"10%":[3],"improvement":[4],"in":[5],"averaged":[6],"F-measure":[7],"on":[8],"patient":[9,29],"clustering":[10,21],"compared":[11],"to":[12,44,57,71],"widely":[13],"used":[14],"non-negative":[15],"matrix":[16],"factorization":[17],"(NMF)":[18],"and":[19,38],"k-means":[20,43],"methods.":[22],"Multiple":[23],"baselines":[24],"were":[25],"established":[26],"by":[27],"modeling":[28],"data":[30],"using":[31],"patient-by-features":[32],"matrices":[33],"with":[34],"different":[35],"feature":[36],"configurations":[37],"then":[39],"performing":[40],"NMF":[41],"or":[42],"cluster":[45],"patients.":[46],"Feature":[47],"analysis":[48],"identified":[49],"latent":[50,65,75],"groups":[51,66,76],"of":[52,67,77],"higher-order":[53,78],"features":[54,69],"that":[55,63],"lead":[56],"medical":[58],"insights.":[59],"We":[60],"also":[61],"found":[62],"the":[64,74],"atomic":[68],"help":[70],"better":[72],"correlate":[73],"features.":[79]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
