{"id":"https://openalex.org/W2954777758","doi":null,"title":"A Case Study for Predicting in-Hospital Mortality by Utilizing the Hyperbolic Embedding of ICD-9 Medical Ontology","display_name":"A Case Study for Predicting in-Hospital Mortality by Utilizing the Hyperbolic Embedding of ICD-9 Medical Ontology","publication_year":2019,"publication_date":"2019-06-14","ids":{"openalex":"https://openalex.org/W2954777758","mag":"2954777758"},"language":"en","primary_location":{"id":"pmh:oai:scholarsbank.uoregon.edu:1794/24744","doi":null,"is_oa":false,"landing_page_url":"https://scholarsbank.uoregon.edu/xmlui/handle/1794/24744","pdf_url":null,"source":{"id":"https://openalex.org/S4377196436","display_name":"Scholars' Bank (University of Oregon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I181233156","host_organization_name":"University of Oregon","host_organization_lineage":["https://openalex.org/I181233156"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis / Dissertation"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002972688","display_name":"Jiazhen Cao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jiazhen Cao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5002972688"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9994999766349792,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T14400","display_name":"Medical Coding and Health Information","score":0.0,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/in-hospital-mortality-prediction","display_name":"in-hospital mortality prediction","score":0.9990000128746033},{"id":"https://openalex.org/keywords/hyperbolic-embeddings","display_name":"hyperbolic embeddings","score":0.9449999928474426},{"id":"https://openalex.org/keywords/icd-9-cm","display_name":"ICD-9-CM","score":0.7910000085830688},{"id":"https://openalex.org/keywords/medical-ontologies","display_name":"medical ontologies","score":0.949999988079071},{"id":"https://openalex.org/keywords/network-embedding","display_name":"graph embedding","score":0.8889999985694885},{"id":"https://openalex.org/keywords/electronic-health-records","display_name":"electronic health records","score":0.9509999752044678},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"risk stratification","score":0.6710000038146973},{"id":"https://openalex.org/keywords/disease-severity","display_name":"disease severity","score":0.597000002861023}],"concepts":[{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.6396483182907104},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5908158421516418},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.38748955726623535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38169682025909424},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33981049060821533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2783876359462738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25991517305374146},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.12815678119659424},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.1037173867225647}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:scholarsbank.uoregon.edu:1794/24744","doi":null,"is_oa":false,"landing_page_url":"https://scholarsbank.uoregon.edu/xmlui/handle/1794/24744","pdf_url":null,"source":{"id":"https://openalex.org/S4377196436","display_name":"Scholars' Bank (University of Oregon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I181233156","host_organization_name":"University of Oregon","host_organization_lineage":["https://openalex.org/I181233156"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis / Dissertation"},{"id":"mag:2954777758","doi":null,"is_oa":false,"landing_page_url":"https://scholarsbank.uoregon.edu/xmlui/bitstream/1794/24744/1/jiazhen_cao_undergraduate_thesis.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.9537000060081482,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1533230146","https://openalex.org/W2083634842","https://openalex.org/W2120156715","https://openalex.org/W2159874007","https://openalex.org/W2432356473","https://openalex.org/W2616901848","https://openalex.org/W2618798060"],"related_works":["https://openalex.org/W2973180967","https://openalex.org/W7171958690","https://openalex.org/W7144466866","https://openalex.org/W2312768018","https://openalex.org/W2970999680","https://openalex.org/W3005885073","https://openalex.org/W4324045608","https://openalex.org/W3037796919","https://openalex.org/W3111824185","https://openalex.org/W3154562975"],"abstract_inverted_index":{"In-hospital":[0],"mortality":[1],"prediction":[2,90],"is":[3,29,56,100],"signi":[4],"cant":[5],"for":[6,81],"evaluating":[7],"a":[8,53],"patient's":[9],"\\nseverity":[10],"of":[11,14,19,43,45,77],"illness":[12],"ahead":[13],"the":[15,20,40,59,69,74,82,88,95],"time.":[16],"The":[17,85],"outcome":[18],"evaluation":[21],"can":[22,37],"\\nhelp":[23],"physicians":[24],"to":[25],"identify":[26],"which":[27],"patient":[28],"at":[30,68],"risk":[31],"and":[32,72,92],"needs":[33],"immediate":[34],"\\ncare,":[35],"it":[36],"further":[38],"increase":[39],"e":[41,102],"ciency":[42],"use":[44],"medical":[46,79],"resources.":[47],"\\nIn":[48],"this":[49],"study,":[50],"I":[51],"proposed":[52],"method":[54],"that":[55,94],"similar":[57],"with":[58],"one":[60],"in":[61],"\\nour":[62],"Electronic":[63],"Health":[64],"Records":[65],"(EHRs)":[66],"research":[67],"CBL":[70],"Lab":[71],"\\nutilized":[73],"hyperbolic":[75,96],"embedding":[76,97,107],"ICD-9":[78,99],"ontology":[80],"\\nprediction":[83],"model.":[84],"results":[86],"outperformed":[87],"benchmark":[89],"\\nmodel":[91],"demonstrated":[93],"on":[98],"\\nmore":[101],"ective":[103],"than":[104],"other":[105],"graph":[106],"methods.":[108]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2019-07-12T00:00:00"}