{"id":"https://openalex.org/W4285141037","doi":"https://doi.org/10.1109/access.2022.3179685","title":"DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification","display_name":"DL-PER: Deep Learning Model for Chinese Prehospital Emergency Record Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285141037","doi":"https://doi.org/10.1109/access.2022.3179685"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3179685","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3179685","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09788571.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09788571.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075051718","display_name":"Xu Zhang","orcid":"https://orcid.org/0000-0001-6102-491X"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China","School of Information and Electrical Engineering, Hebei University of Engineering, Handan Hebei 056038, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]},{"raw_affiliation_string":"School of Information and Electrical Engineering, Hebei University of Engineering, Handan Hebei 056038, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102802836","display_name":"Haifang Zhang","orcid":"https://orcid.org/0000-0002-3354-4683"},"institutions":[{"id":"https://openalex.org/I113389987","display_name":"Handan College","ror":"https://ror.org/03fkpw052","country_code":"CN","type":"education","lineage":["https://openalex.org/I113389987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifang Zhang","raw_affiliation_strings":["Emergency Rescue Command Center, Handan, China","Handan Emergency Center, Handan Hebei 056002, China"],"affiliations":[{"raw_affiliation_string":"Emergency Rescue Command Center, Handan, China","institution_ids":["https://openalex.org/I113389987"]},{"raw_affiliation_string":"Handan Emergency Center, Handan Hebei 056002, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026728988","display_name":"Long Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Sheng","raw_affiliation_strings":["School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China","School of Information and Electrical Engineering, Hebei University of Engineering, Handan Hebei 056038, China and Hebei Key Laboratory of Security Protection Information Sensing and Processing, Hebei University of Engineering, Handan Hebei 056038, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]},{"raw_affiliation_string":"School of Information and Electrical Engineering, Hebei University of Engineering, Handan Hebei 056038, China and Hebei Key Laboratory of Security Protection Information Sensing and Processing, Hebei University of Engineering, Handan Hebei 056038, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013725152","display_name":"Feng Tian","orcid":"https://orcid.org/0000-0001-7888-0587"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Tian","raw_affiliation_strings":["School of Medicine, Hebei University of Engineering, Handan, China","School of Medicine, Hebei University of Engineering, Handan Hebei 056038, China"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]},{"raw_affiliation_string":"School of Medicine, Hebei University of Engineering, Handan Hebei 056038, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5075051718"],"corresponding_institution_ids":["https://openalex.org/I106079672"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.0606,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80418059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"64638","last_page":"64649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9926000237464905,"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":0.9926000237464905,"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/T10028","display_name":"Topic Modeling","score":0.9868000149726868,"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/T11095","display_name":"Emergency and Acute Care Studies","score":0.9657999873161316,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"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/computer-science","display_name":"Computer science","score":0.6140256524085999},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.500899076461792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44239017367362976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6140256524085999},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.500899076461792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44239017367362976}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3179685","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3179685","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09788571.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f3fe80b751724d32bbf8ec6cb204856a","is_oa":true,"landing_page_url":"https://doaj.org/article/f3fe80b751724d32bbf8ec6cb204856a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 64638-64649 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3179685","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3179685","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09788571.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285141037.pdf","grobid_xml":"https://content.openalex.org/works/W4285141037.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2064675550","https://openalex.org/W2120615054","https://openalex.org/W2131774270","https://openalex.org/W2140679639","https://openalex.org/W2165568749","https://openalex.org/W2911489562","https://openalex.org/W2962739339","https://openalex.org/W2964046515","https://openalex.org/W2970602422","https://openalex.org/W2996086750","https://openalex.org/W3014803340","https://openalex.org/W3020589325","https://openalex.org/W3021618059","https://openalex.org/W3028061987","https://openalex.org/W3115265663","https://openalex.org/W3116099796","https://openalex.org/W3118768795","https://openalex.org/W3128686514","https://openalex.org/W3129631327","https://openalex.org/W3130747775","https://openalex.org/W3135832423","https://openalex.org/W3149303815","https://openalex.org/W3159221476","https://openalex.org/W3180444463","https://openalex.org/W3201170304","https://openalex.org/W3201908633","https://openalex.org/W4200446880","https://openalex.org/W4200588638","https://openalex.org/W4226091609","https://openalex.org/W4294170691","https://openalex.org/W6636510571","https://openalex.org/W6680532216","https://openalex.org/W6682691769","https://openalex.org/W6682889407","https://openalex.org/W6685053522","https://openalex.org/W6685562342","https://openalex.org/W6696761078","https://openalex.org/W6697462184","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6781550413","https://openalex.org/W6783037059"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Prehospital":[0],"emergency":[1,8,24,40,49,66,72,146],"records":[2,16,73,147],"contain":[3],"much":[4],"information":[5,13],"about":[6],"prehospital":[7,23,39,48,65,71,145],"patients.":[9],"Extracting":[10],"important":[11],"patient":[12],"from":[14,82,105],"many":[15],"has":[17],"become":[18],"the":[19,35,83,87,135,139,150,158,162,174,181],"focus":[20],"of":[21,38,129,138],"all":[22],"personnel.":[25],"The":[26,54,154],"key":[27],"to":[28,33,63,74,101,133,167],"solving":[29],"this":[30,117],"problem":[31],"is":[32],"achieve":[34],"automatic":[36],"classification":[37,51],"records.":[41,67],"This":[42],"study":[43],"considers":[44],"a":[45,57,76,93,106],"deep":[46],"learning-based":[47],"record":[50],"model":[52,55,81,100,160],"(DL-PER).":[53],"uses":[56],"weighted":[58,110],"text":[59,103,111,120],"convolutional":[60,112],"neural":[61,113],"network":[62,114],"classify":[64],"First,":[68],"we":[69,91],"use":[70,92],"train":[75],"bi-directional":[77,94],"encoder":[78],"representation":[79],"(BERT)":[80],"transformer.":[84],"BERT":[85],"obtains":[86],"word":[88],"vectors.":[89],"Then,":[90],"long":[95],"and":[96,171],"short-term":[97],"memory":[98],"(BiLSTM)":[99],"obtain":[102],"features":[104],"global":[107],"perspective.":[108],"A":[109],"(WTextCNN)":[115],"improves":[116],"model’s":[118],"local":[119],"feature":[121],"extraction":[122],"capability.":[123],"We":[124,141],"used":[125],"activation":[126,131],"functions":[127,132],"instead":[128],"ReLu":[130],"improve":[134],"learning":[136],"ability":[137],"model.":[140,183],"conducted":[142],"experiments":[143],"using":[144],"provided":[148],"by":[149,165],"Handan":[151],"Emergency":[152],"Center.":[153],"results":[155],"showed":[156],"that":[157],"DL-PER":[159],"improved":[161],"F1":[163],"scores":[164],"up":[166],"5.7%,":[168,170],"6.8%,":[169],"4.9%":[172],"on":[173],"four":[175],"data":[176],"sets,":[177],"respectively,":[178],"compared":[179],"with":[180],"BiLSTM":[182]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}