{"id":"https://openalex.org/W2593720200","doi":null,"title":"Clinical Phenotyping in the Prediction of Pediatric Acute Kidney Injury","display_name":"Clinical Phenotyping in the Prediction of Pediatric Acute Kidney Injury","publication_year":2016,"publication_date":"2016-07-14","ids":{"openalex":"https://openalex.org/W2593720200","mag":"2593720200"},"language":"en","primary_location":{"id":"pmh:oai:digital.lib.washington.edu:1773/36501","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1773/36501","pdf_url":"http://hdl.handle.net/1773/36501","source":{"id":"https://openalex.org/S4306401128","display_name":"ResearchWorks at the University of Washington (University of Washington)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I201448701","host_organization_name":"University of Washington","host_organization_lineage":["https://openalex.org/I201448701"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1773/36501","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080196105","display_name":"Michael G. Semanik","orcid":"https://orcid.org/0000-0003-3156-5920","observed_orcids":["https://orcid.org/0000-0003-3156-5920"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michael G. Semanik","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3156-5920","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5080196105"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":0.9185000061988831,"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":0.9185000061988831,"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/T10684","display_name":"Acute Kidney Injury Research","score":0.07840000092983246,"subfield":{"id":"https://openalex.org/subfields/2727","display_name":"Nephrology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.00139999995008111,"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/pediatric-acute-kidney-injury","display_name":"pediatric acute kidney injury","score":0.984000027179718},{"id":"https://openalex.org/keywords/clinical-phenotyping","display_name":"clinical phenotyping","score":0.9229999780654907},{"id":"https://openalex.org/keywords/electronic-health-records","display_name":"electronic health records","score":0.718999981880188},{"id":"https://openalex.org/keywords/aki-prediction","display_name":"AKI prediction","score":0.6100000143051147},{"id":"https://openalex.org/keywords/intensive-care-unit-patients","display_name":"intensive care unit patients","score":0.8640000224113464},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"natural language processing","score":0.9729999899864197},{"id":"https://openalex.org/keywords/unstructured-clinical-data","display_name":"unstructured clinical data","score":0.6769999861717224},{"id":"https://openalex.org/keywords/predictive-modeling","display_name":"predictive modeling","score":0.39500001072883606}],"concepts":[{"id":"https://openalex.org/C2780472472","wikidata":"https://www.wikidata.org/wiki/Q424337","display_name":"Acute kidney injury","level":2,"score":0.6242684721946716},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4978141784667969},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3774958848953247},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.25894150137901306}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:digital.lib.washington.edu:1773/36501","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1773/36501","pdf_url":"http://hdl.handle.net/1773/36501","source":{"id":"https://openalex.org/S4306401128","display_name":"ResearchWorks at the University of Washington (University of Washington)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I201448701","host_organization_name":"University of Washington","host_organization_lineage":["https://openalex.org/I201448701"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:2593720200","doi":null,"is_oa":false,"landing_page_url":"https://digital.lib.washington.edu:443/researchworks/handle/1773/36501","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":{"id":"pmh:oai:digital.lib.washington.edu:1773/36501","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/1773/36501","pdf_url":"http://hdl.handle.net/1773/36501","source":{"id":"https://openalex.org/S4306401128","display_name":"ResearchWorks at the University of Washington (University of Washington)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I201448701","host_organization_name":"University of Washington","host_organization_lineage":["https://openalex.org/I201448701"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"sustainable_development_goals":[{"score":0.98580002784729,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2593720200.pdf","grobid_xml":"https://content.openalex.org/works/W2593720200.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W55631637","https://openalex.org/W1966415880","https://openalex.org/W1967300023","https://openalex.org/W1973914566","https://openalex.org/W2007813089","https://openalex.org/W2016373306","https://openalex.org/W2030407410","https://openalex.org/W2034908868","https://openalex.org/W2056738418","https://openalex.org/W2061536430","https://openalex.org/W2078358850","https://openalex.org/W2079010780","https://openalex.org/W2081141743","https://openalex.org/W2090283905","https://openalex.org/W2114323543","https://openalex.org/W2136486905","https://openalex.org/W2139937737","https://openalex.org/W2140796490","https://openalex.org/W2146551997","https://openalex.org/W2162022437","https://openalex.org/W2173548389","https://openalex.org/W2193019744","https://openalex.org/W2321829810","https://openalex.org/W2412384041","https://openalex.org/W2952762910"],"related_works":["https://openalex.org/W7070706847","https://openalex.org/W2887869697","https://openalex.org/W2589843269","https://openalex.org/W7220435629","https://openalex.org/W4313644655","https://openalex.org/W6903962171","https://openalex.org/W2890098382","https://openalex.org/W3091615242","https://openalex.org/W2970994015","https://openalex.org/W3171314297"],"abstract_inverted_index":{"Predicting":[0],"pediatric":[1,162],"acute":[2],"kidney":[3,21],"injury":[4,22],"is":[5,53,164],"a":[6,60,81,108,144,150],"difficult":[7],"but":[8],"important":[9],"task.":[10],"Accurate":[11],"prediction":[12],"would":[13],"allow":[14],"preventative":[15],"measures":[16],"to":[17,56,101,105,136,166],"be":[18],"taken":[19],"before":[20],"occurs,":[23],"decreasing":[24],"the":[25,36,88,97,126,134,155,168],"morbidity":[26],"and":[27,76,103],"mortality":[28],"associated":[29],"with":[30,70],"this":[31],"disease.":[32],"This":[33,64],"work":[34],"describes":[35,140],"process":[37],"of":[38,74,78,83,90,125,154,157,170],"creating":[39],"an":[40,71],"\u201cat":[41],"risk":[42],"for":[43,111],"AKI\u201d":[44],"clinical":[45,117,158],"phenotype":[46],"from":[47,93],"electronic":[48],"health":[49],"record":[50],"data,":[51],"which":[52,137],"then":[54],"used":[55],"predict":[57],"AKI":[58,163],"in":[59,115,160],"retrospective":[61],"data":[62,92],"set.":[63],"predictive":[65],"model":[66],"has":[67],"reasonable":[68],"performance,":[69],"F1":[72,99],"score":[73,100],"0.67":[75],"AUC":[77,104],"0.75.":[79],"In":[80],"subset":[82],"intensive":[84],"care":[85],"unit":[86],"patients,":[87],"addition":[89],"unstructured":[91],"clinician":[94],"notes":[95],"improves":[96],"model\u2019s":[98],"0.72":[102],"0.77,":[106],"suggesting":[107],"possible":[109],"role":[110],"natural":[112],"language":[113],"processing":[114],"refining":[116],"phenotypes.":[118],"Interpreting":[119],"these":[120,171],"models":[121],"requires":[122],"careful":[123],"consideration":[124],"information":[127,139],"contained":[128],"within":[129,143,149],"each":[130],"variable":[131],"\u2013":[132],"specifically,":[133],"extent":[135],"that":[138],"biologic":[141],"processes":[142,148],"patient":[145],"or":[146],"systemic":[147],"hospital.":[151],"Further":[152],"evaluation":[153],"use":[156],"phenotyping":[159],"predicting":[161],"necessary":[165],"confirm":[167],"utility":[169],"models.":[172]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2017-03-16T00:00:00"}