{"id":"https://openalex.org/W2922100650","doi":"https://doi.org/10.4018/ijhisi.2019070104","title":"Using Data Analytics to Predict Hospital Mortality in Sepsis Patients","display_name":"Using Data Analytics to Predict Hospital Mortality in Sepsis Patients","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2922100650","doi":"https://doi.org/10.4018/ijhisi.2019070104","mag":"2922100650"},"language":"en","primary_location":{"id":"doi:10.4018/ijhisi.2019070104","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijhisi.2019070104","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=234319&isxn=9781522564546","source":{"id":"https://openalex.org/S139009114","display_name":"International Journal of Healthcare Information Systems and Informatics","issn_l":"1555-3396","issn":["1555-3396","1555-340X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Healthcare Information Systems and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=234319&isxn=9781522564546","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003041378","display_name":"Yazan Alnsour","orcid":"https://orcid.org/0000-0001-7198-7197"},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yazan Alnsour","raw_affiliation_strings":["University of Illinois at Springfield, Springfield, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Springfield, Springfield, USA","institution_ids":["https://openalex.org/I79884896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008989760","display_name":"Rassule Hadidi","orcid":null},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rassule Hadidi","raw_affiliation_strings":["University of Illinois at Springfield, Springfield, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Springfield, Springfield, USA","institution_ids":["https://openalex.org/I79884896"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697713","display_name":"Neetu Singh","orcid":"https://orcid.org/0000-0002-1127-1274"},"institutions":[{"id":"https://openalex.org/I79884896","display_name":"University of Illinois at Springfield","ror":"https://ror.org/0126qma51","country_code":"US","type":"education","lineage":["https://openalex.org/I79884896"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neetu Singh","raw_affiliation_strings":["University of Illinois at Springfield, Springfield, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Springfield, Springfield, USA","institution_ids":["https://openalex.org/I79884896"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003041378"],"corresponding_institution_ids":["https://openalex.org/I79884896"],"apc_list":null,"apc_paid":null,"fwci":0.3185,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60508178,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"3","first_page":"40","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9936000108718872,"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":0.9732000231742859,"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/predictive-analytics","display_name":"Predictive analytics","score":0.6053698658943176},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5900518298149109},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.548429548740387},{"id":"https://openalex.org/keywords/psychological-intervention","display_name":"Psychological intervention","score":0.5307968258857727},{"id":"https://openalex.org/keywords/emergency-medicine","display_name":"Emergency medicine","score":0.5215924978256226},{"id":"https://openalex.org/keywords/sepsis","display_name":"Sepsis","score":0.5164453983306885},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5069732666015625},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.48669368028640747},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.48128217458724976},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.38581210374832153},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.2872897982597351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24831998348236084},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.16851294040679932},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14613699913024902},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.1419191062450409}],"concepts":[{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.6053698658943176},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5900518298149109},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.548429548740387},{"id":"https://openalex.org/C27415008","wikidata":"https://www.wikidata.org/wiki/Q7256382","display_name":"Psychological intervention","level":2,"score":0.5307968258857727},{"id":"https://openalex.org/C194828623","wikidata":"https://www.wikidata.org/wiki/Q2861470","display_name":"Emergency medicine","level":1,"score":0.5215924978256226},{"id":"https://openalex.org/C2778384902","wikidata":"https://www.wikidata.org/wiki/Q183134","display_name":"Sepsis","level":2,"score":0.5164453983306885},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5069732666015625},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.48669368028640747},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.48128217458724976},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.38581210374832153},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2872897982597351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24831998348236084},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.16851294040679932},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14613699913024902},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.1419191062450409},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijhisi.2019070104","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijhisi.2019070104","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=234319&isxn=9781522564546","source":{"id":"https://openalex.org/S139009114","display_name":"International Journal of Healthcare Information Systems and Informatics","issn_l":"1555-3396","issn":["1555-3396","1555-340X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Healthcare Information Systems and Informatics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jhisi0:v:14:y:2019:i:3:p:40-57","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJHISI.2019070104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":{"id":"doi:10.4018/ijhisi.2019070104","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijhisi.2019070104","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=234319&isxn=9781522564546","source":{"id":"https://openalex.org/S139009114","display_name":"International Journal of Healthcare Information Systems and Informatics","issn_l":"1555-3396","issn":["1555-3396","1555-340X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Healthcare Information Systems and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2922100650.pdf","grobid_xml":"https://content.openalex.org/works/W2922100650.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W765754","https://openalex.org/W111978056","https://openalex.org/W601070381","https://openalex.org/W1483264753","https://openalex.org/W1531774733","https://openalex.org/W1571401318","https://openalex.org/W1855722232","https://openalex.org/W1869842011","https://openalex.org/W1898928487","https://openalex.org/W1967574409","https://openalex.org/W1970637339","https://openalex.org/W1978885853","https://openalex.org/W1983024255","https://openalex.org/W1990801176","https://openalex.org/W2007417077","https://openalex.org/W2009167374","https://openalex.org/W2016213571","https://openalex.org/W2020955970","https://openalex.org/W2027615474","https://openalex.org/W2044903647","https://openalex.org/W2044999792","https://openalex.org/W2058280008","https://openalex.org/W2062293545","https://openalex.org/W2072357817","https://openalex.org/W2090151650","https://openalex.org/W2096783842","https://openalex.org/W2100050046","https://openalex.org/W2102290891","https://openalex.org/W2106534536","https://openalex.org/W2112028307","https://openalex.org/W2127430410","https://openalex.org/W2129997990","https://openalex.org/W2130233124","https://openalex.org/W2134326009","https://openalex.org/W2135398566","https://openalex.org/W2137080502","https://openalex.org/W2141975087","https://openalex.org/W2144589352","https://openalex.org/W2146255968","https://openalex.org/W2146352833","https://openalex.org/W2147161150","https://openalex.org/W2147313968","https://openalex.org/W2153476503","https://openalex.org/W2155170531","https://openalex.org/W2162181053","https://openalex.org/W2164904576","https://openalex.org/W2280404143","https://openalex.org/W2332411917","https://openalex.org/W2361110533","https://openalex.org/W2399234247","https://openalex.org/W2401291795","https://openalex.org/W2414134524","https://openalex.org/W2465673526","https://openalex.org/W2493662156","https://openalex.org/W2506178710","https://openalex.org/W2556655680","https://openalex.org/W2558069154","https://openalex.org/W2563170828","https://openalex.org/W2567142519","https://openalex.org/W2591382767","https://openalex.org/W2605860881","https://openalex.org/W2624983790","https://openalex.org/W2729161046","https://openalex.org/W2753278547","https://openalex.org/W2809015544","https://openalex.org/W3145511514","https://openalex.org/W4299809648","https://openalex.org/W4319156734"],"related_works":["https://openalex.org/W4205686051","https://openalex.org/W3108868229","https://openalex.org/W4206275624","https://openalex.org/W3189884647","https://openalex.org/W4313451520","https://openalex.org/W3203664106","https://openalex.org/W3004358060","https://openalex.org/W4251864566","https://openalex.org/W4224092800","https://openalex.org/W2910942700"],"abstract_inverted_index":{"Predictive":[0],"analytics":[1],"can":[2,16],"be":[3,17],"used":[4,62],"to":[5,19,67,118,127,137,143],"anticipate":[6],"the":[7,45,52,60,106,119,123,130,133,151],"risks":[8],"associated":[9],"with":[10,38],"some":[11],"patients,":[12],"and":[13,22,55,69,129,153,165],"prediction":[14,39],"models":[15],"employed":[18],"alert":[20],"physicians":[21],"allow":[23],"timely":[24],"proactive":[25],"interventions.":[26],"Recently,":[27],"health":[28],"care":[29],"providers":[30],"have":[31],"been":[32],"using":[33,85,105,144,157],"different":[34],"types":[35],"of":[36,44,48,88,94,100,156],"tools":[37],"capabilities.":[40],"Sepsis":[41,78],"is":[42,140],"one":[43,91],"leading":[46],"causes":[47],"in-hospital":[49,75,101],"death":[50],"in":[51,168],"United":[53],"States":[54],"worldwide.":[56],"In":[57],"this":[58],"study,":[59],"authors":[61,112,149],"a":[63,71,86,158],"large":[64],"medical":[65],"dataset":[66,87],"develop":[68],"present":[70],"model":[72,82,121,160],"that":[73,114,161],"predicts":[74],"mortality":[76,102],"among":[77],"patients.":[79,96,171],"The":[80,97,111,148],"predictive":[81,120,159],"was":[83],"developed":[84],"more":[89],"than":[90],"million":[92],"records":[93],"hospitalized":[95],"independent":[98],"predictors":[99],"were":[103],"identified":[104],"chi-square":[107],"automatic":[108],"interaction":[109],"detector.":[110],"found":[113],"adding":[115],"hospital":[116,166],"attributes":[117,167],"increased":[122],"accuracy":[124],"from":[125,135],"82.08%":[126],"85.3%":[128],"area":[131],"under":[132],"curve":[134],"0.69":[136],"0.84,":[138],"which":[139],"favorable":[141],"compared":[142],"only":[145],"patients'":[146],"attributes.":[147],"discuss":[150],"practical":[152],"research":[154],"contributions":[155],"incorporates":[162],"both":[163],"patient":[164],"identifying":[169],"high-risk":[170]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}