{"id":"https://openalex.org/W4295487991","doi":"https://doi.org/10.1109/embc48229.2022.9871857","title":"Comparing Prediction of Early TBI Mortality with Multilayer Perceptron Neural Network and Convolutional Neural Network","display_name":"Comparing Prediction of Early TBI Mortality with Multilayer Perceptron Neural Network and Convolutional Neural Network","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4295487991","doi":"https://doi.org/10.1109/embc48229.2022.9871857","pmid":"https://pubmed.ncbi.nlm.nih.gov/36085670"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9871857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-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":"https://openalex.org/A5078626806","display_name":"Kellen Alvarenga Adriely Guimaraes","orcid":"https://orcid.org/0000-0002-6562-731X"},"institutions":[{"id":"https://openalex.org/I4210148508","display_name":"Instituto Federal do Amazonas","ror":"https://ror.org/045nsn047","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210148508"]},{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"K. A. A. Guimaraes","raw_affiliation_strings":["School of Technology of the Federal University of Amazonas,Electrical Engineering","Electrical Engineering, School of Technology of the Federal University of Amazonas"],"affiliations":[{"raw_affiliation_string":"School of Technology of the Federal University of Amazonas,Electrical Engineering","institution_ids":["https://openalex.org/I62885914","https://openalex.org/I4210148508"]},{"raw_affiliation_string":"Electrical Engineering, School of Technology of the Federal University of Amazonas","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057891403","display_name":"M. G. F. Costa","orcid":"https://orcid.org/0000-0002-6839-1402"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]},{"id":"https://openalex.org/I4210148508","display_name":"Instituto Federal do Amazonas","ror":"https://ror.org/045nsn047","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210148508"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"M. G. F. Costa","raw_affiliation_strings":["School of Technology of the Federal University of Amazonas,Electrical Engineering","Electrical Engineering, School of Technology of the Federal University of Amazonas"],"affiliations":[{"raw_affiliation_string":"School of Technology of the Federal University of Amazonas,Electrical Engineering","institution_ids":["https://openalex.org/I62885914","https://openalex.org/I4210148508"]},{"raw_affiliation_string":"Electrical Engineering, School of Technology of the Federal University of Amazonas","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015614971","display_name":"Robson Lu\u00eds Oliveira de Amorim","orcid":"https://orcid.org/0000-0003-2391-7519"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. L. Amorim","raw_affiliation_strings":["School of Medicine of the Federal University of Amazonas"],"affiliations":[{"raw_affiliation_string":"School of Medicine of the Federal University of Amazonas","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004818827","display_name":"C\u00edcero Ferreira Fernandes Costa Filho","orcid":"https://orcid.org/0000-0003-3325-5715"},"institutions":[{"id":"https://openalex.org/I4210148508","display_name":"Instituto Federal do Amazonas","ror":"https://ror.org/045nsn047","country_code":"BR","type":"education","lineage":["https://openalex.org/I4210148508"]},{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"C. F. F. Costa Filho","raw_affiliation_strings":["School of Technology of the Federal University of Amazonas,Electrical Engineering","Electrical Engineering, School of Technology of the Federal University of Amazonas"],"affiliations":[{"raw_affiliation_string":"School of Technology of the Federal University of Amazonas,Electrical Engineering","institution_ids":["https://openalex.org/I62885914","https://openalex.org/I4210148508"]},{"raw_affiliation_string":"Electrical Engineering, School of Technology of the Federal University of Amazonas","institution_ids":["https://openalex.org/I62885914"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078626806"],"corresponding_institution_ids":["https://openalex.org/I4210148508","https://openalex.org/I62885914"],"apc_list":null,"apc_paid":null,"fwci":0.6847,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77993528,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2022","issue":null,"first_page":"4457","last_page":"4460"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10227","display_name":"Acute Ischemic Stroke Management","score":0.992900013923645,"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/T10227","display_name":"Acute Ischemic Stroke Management","score":0.992900013923645,"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/T14510","display_name":"Medical Imaging and Analysis","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11700","display_name":"Hemodynamic Monitoring and Therapy","score":0.9678000211715698,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7242810130119324},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6857137680053711},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.667412519454956},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6544958353042603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.64315265417099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5864714980125427},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.565185546875},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4783189594745636},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.43611446022987366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42267054319381714},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4171191453933716},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4129980206489563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38040870428085327},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3051888942718506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14346098899841309}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7242810130119324},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6857137680053711},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.667412519454956},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6544958353042603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64315265417099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5864714980125427},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.565185546875},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4783189594745636},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.43611446022987366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42267054319381714},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4171191453933716},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4129980206489563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38040870428085327},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3051888942718506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14346098899841309}],"mesh":[{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","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":"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc48229.2022.9871857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871857","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36085670","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36085670","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G4257313756","display_name":null,"funder_award_id":"8.387/1991","funder_id":"https://openalex.org/F4320332195","funder_display_name":"Samsung"}],"funders":[{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1968194974","https://openalex.org/W2018827893","https://openalex.org/W2054124618","https://openalex.org/W2060838702","https://openalex.org/W2069131626","https://openalex.org/W2070921889","https://openalex.org/W2111854577","https://openalex.org/W2339860423","https://openalex.org/W2513527645","https://openalex.org/W2900981882","https://openalex.org/W2991225622","https://openalex.org/W3001378864","https://openalex.org/W3011571399","https://openalex.org/W3168276638"],"related_works":["https://openalex.org/W4366990902","https://openalex.org/W4317732970","https://openalex.org/W4388550696","https://openalex.org/W4321636153","https://openalex.org/W4313289487","https://openalex.org/W4308419594","https://openalex.org/W2076543106","https://openalex.org/W2994772185","https://openalex.org/W2523437662","https://openalex.org/W89844371"],"abstract_inverted_index":{"In":[0,63],"this":[1],"work,":[2],"we":[3],"compare":[4],"the":[5,17,64,86,98,107],"performance":[6],"of":[7,19,45,66,92,101,109,122],"a":[8,27,31],"multilayer":[9],"perceptron":[10],"neural":[11,67],"network":[12],"and":[13,38,60,79,94],"convolutional":[14],"networks":[15],"for":[16,85],"prediction":[18,87,108],"14-day":[20],"mortality":[21,111],"in":[22,30,50,112],"patients":[23,113],"with":[24,35,51,114,116],"TBI,":[25],"using":[26],"database":[28],"obtained":[29,84],"low-and":[32],"middle-income":[33],"country,":[34],"529":[36],"records":[37],"16":[39],"predictor":[40],"variables.":[41],"The":[42,81],"missing":[43],"values":[44],"several":[46,69],"variables":[47],"were":[48,72,89],"filled":[49],"techniques":[52],"such":[53,74],"as":[54,75],"decision":[55],"tree,":[56],"random":[57],"forest,":[58],"k-nearest-neighbor":[59],"linear":[61],"regression.":[62],"simulation":[65],"networks,":[68],"optimization":[70],"methods":[71],"used,":[73],"RMSProp,":[76],"Adam,":[77],"Adamax":[78],"SGDM.":[80],"best":[82],"results":[83],"rate":[88],"an":[90,95,117],"accuracy":[91],"0.845":[93],"area":[96,118],"under":[97,119],"ROC":[99,120],"curve":[100,121],"0.911.":[102,123],"Clinical":[103],"Relevance-":[104],"This":[105],"proposes":[106],"early":[110],"TBI":[115]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
