{"id":"https://openalex.org/W4414432491","doi":"https://doi.org/10.1109/tbme.2025.3613361","title":"Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support","display_name":"Explainable Prediction of ICU Transfer in Acute Pancreatitis: A Neural Network Model With SHAP Interpretability for Clinical Decision Support","publication_year":2025,"publication_date":"2025-09-23","ids":{"openalex":"https://openalex.org/W4414432491","doi":"https://doi.org/10.1109/tbme.2025.3613361","pmid":"https://pubmed.ncbi.nlm.nih.gov/40986596"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2025.3613361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2025.3613361","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Mingchang Chen","orcid":"https://orcid.org/0009-0006-4970-9856"},"institutions":[{"id":"https://openalex.org/I4210138078","display_name":"Second Affiliated Hospital of Nanjing Medical University","ror":"https://ror.org/04pge2a40","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210138078"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingchang Chen","raw_affiliation_strings":["Second Clinical Medical College, Nanjing Medical University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0006-4970-9856","affiliations":[{"raw_affiliation_string":"Second Clinical Medical College, Nanjing Medical University, Nanjing, China","institution_ids":["https://openalex.org/I4210138078"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jiayi Shi","orcid":"https://orcid.org/0009-0000-2253-8045"},"institutions":[{"id":"https://openalex.org/I4210138078","display_name":"Second Affiliated Hospital of Nanjing Medical University","ror":"https://ror.org/04pge2a40","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210138078"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayi Shi","raw_affiliation_strings":["Second Clinical Medical College, Nanjing Medical University, China","Second Clinical Medical College, Nanjing Medical University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0000-2253-8045","affiliations":[{"raw_affiliation_string":"Second Clinical Medical College, Nanjing Medical University, China","institution_ids":[]},{"raw_affiliation_string":"Second Clinical Medical College, Nanjing Medical University, Nanjing, China","institution_ids":["https://openalex.org/I4210138078"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210138078"],"apc_list":null,"apc_paid":null,"fwci":1.3214,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8302553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"73","issue":"4","first_page":"1649","last_page":"1656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10760","display_name":"Pancreatitis Pathology and Treatment","score":0.8220999836921692,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10760","display_name":"Pancreatitis Pathology and Treatment","score":0.8220999836921692,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.0551999993622303,"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/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.05339999869465828,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9538999795913696},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6852999925613403},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.5659999847412109},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5501999855041504},{"id":"https://openalex.org/keywords/clinical-decision-support-system","display_name":"Clinical decision support system","score":0.5029000043869019},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.3612000048160553},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.35690000653266907}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9538999795913696},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6852999925613403},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.600600004196167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5936999917030334},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.5659999847412109},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5501999855041504},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5419999957084656},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.5029000043869019},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3149999976158142},{"id":"https://openalex.org/C2989179672","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Clinical decision making","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.29809999465942383},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27889999747276306},{"id":"https://openalex.org/C2987404301","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care","level":2,"score":0.27059999108314514},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.258899986743927}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007362","descriptor_name":"Intensive Care Units","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010195","descriptor_name":"Pancreatitis","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D010195","descriptor_name":"Pancreatitis","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D010195","descriptor_name":"Pancreatitis","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D010195","descriptor_name":"Pancreatitis","qualifier_ui":"Q000628","qualifier_name":"therapy","is_major_topic":true},{"descriptor_ui":"D010360","descriptor_name":"Patient Transfer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010360","descriptor_name":"Patient Transfer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020000","descriptor_name":"Decision Support Systems, Clinical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2025.3613361","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2025.3613361","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:40986596","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40986596","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":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"OBJECTIVE:":[0],"Acute":[1],"pancreatitis":[2,16,52],"(AP)":[3],"is":[4],"a":[5,34,194,237],"life-threatening":[6],"disorder":[7],"commonly":[8],"observed":[9],"in":[10,48,159,230],"emergency":[11],"departments.":[12],"Patients":[13],"with":[14,50,207,236],"acute":[15,51],"may":[17],"necessitate":[18],"transfer":[19],"to":[20,179,212],"the":[21,43,68,113,144,160,168,185,213],"intensive":[22],"care":[23],"unit":[24],"(ICU)":[25],"if":[26],"standard":[27],"treatments":[28],"prove":[29],"ineffective.":[30],"The":[31,139,199],"development":[32],"of":[33,150,153,157,167,227],"machine":[35,117],"learning":[36,118],"(ML)":[37],"model":[38,189,202,224],"that":[39],"can":[40],"precisely":[41],"forecast":[42],"necessity":[44],"for":[45,58,80,225,240],"ICU":[46,228],"admission":[47,229],"patients":[49,206],"might":[53],"dramatically":[54],"enhance":[55],"in-hospital":[56],"healthcare":[57],"patients.":[59,232],"METHODS:":[60],"For":[61],"this":[62],"study,":[63],"data":[64],"were":[65,95,133],"extracted":[66],"from":[67],"MIMIC-III":[69],"Clinical":[70],"Database":[71,90],"Care-Vue":[72],"subset":[73],"(MIMIC-III":[74],"v":[75,84],"1.4),":[76],"Medical":[77],"Information":[78],"Mart":[79],"Intensive":[81],"Care-IV":[82],"(MIMIC-IV":[83],"3.1),":[85],"and":[86,103,107,128,155,183,243],"eICU":[87],"Collaborative":[88],"Research":[89],"(v":[91],"2.0).":[92],"Fifteen":[93],"features":[94],"identified":[96],"through":[97],"Boruta's":[98],"algorithm,":[99],"Least":[100],"Absolute":[101],"Shrinkage":[102],"Selection":[104],"Operator":[105],"(Lasso),":[106],"Recursive":[108],"Feature":[109],"Elimination":[110],"(RFE)":[111],"utilizing":[112,174],"XGBoost.":[114],"RESULTS:":[115],"Seven":[116],"models,":[119],"including":[120],"Support":[121],"Vector":[122],"Machine":[123],"(SVM),":[124],"K-Nearest":[125],"Neighbors":[126],"(KNN),":[127],"Neural":[129],"Network":[130],"(NNET),":[131],"etc.":[132],"developed":[134,220],"based":[135],"on":[136,193],"these":[137],"features.":[138],"neural":[140,200],"network":[141,201],"approach":[142],"demonstrated":[143],"highest":[145],"reliability,":[146],"attaining":[147],"an":[148,164,221],"AUC":[149],"0.891,":[151],"sensitivity":[152],"0.852,":[154],"specificity":[156],"0.767":[158],"test":[161],"set.":[162],"Meanwhile,":[163],"interpretability":[165],"assessment":[166],"most":[169],"robust":[170],"models":[171],"was":[172],"performed":[173],"SHapley":[175],"Additive":[176],"exPlanations":[177],"(SHAP)":[178],"prioritize":[180],"feature":[181],"importance":[182],"elucidate":[184],"final":[186],"model.":[187],"This":[188],"has":[190],"been":[191],"deployed":[192],"web":[195],"platform:":[196],"https://icupredict.shinyapps.io/shiny6/.":[197],"CONCLUSIONS:":[198],"effectively":[203],"predicted":[204],"whether":[205],"AP":[208,231],"would":[209],"be":[210],"transferred":[211],"ICU,":[214],"demonstrating":[215],"optimal":[216],"performance.":[217],"SIGNIFICANCE:":[218],"We":[219],"interpretable":[222],"ML":[223],"prediction":[226],"It":[233],"provides":[234],"clinicians":[235],"reliable":[238],"tool":[239],"early":[241],"identification":[242],"treatment.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
