{"id":"https://openalex.org/W4388860805","doi":"https://doi.org/10.1186/s12911-023-02367-1","title":"Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding","display_name":"Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding","publication_year":2023,"publication_date":"2023-11-21","ids":{"openalex":"https://openalex.org/W4388860805","doi":"https://doi.org/10.1186/s12911-023-02367-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/37990204"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-023-02367-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02367-1","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02367-1","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02367-1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061478390","display_name":"Jinming Shi","orcid":"https://orcid.org/0000-0002-3222-3845"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinming Shi","raw_affiliation_strings":["National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101476041","display_name":"Ming Ye","orcid":"https://orcid.org/0000-0001-5546-2593"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Ye","raw_affiliation_strings":["National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711880","display_name":"Haotian Chen","orcid":"https://orcid.org/0000-0002-9516-183X"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haotian Chen","raw_affiliation_strings":["National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034377645","display_name":"Yaoen Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoen Lu","raw_affiliation_strings":["National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Telemedicine Center of China, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089391171","display_name":"Zhongke Tan","orcid":"https://orcid.org/0000-0001-5458-9525"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongke Tan","raw_affiliation_strings":["National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041128871","display_name":"Zhaohan Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaohan Fan","raw_affiliation_strings":["National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China","institution_ids":["https://openalex.org/I4210156804"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071321247","display_name":"Jie Zhao","orcid":"https://orcid.org/0000-0003-0039-6220"},"institutions":[{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Zhao","raw_affiliation_strings":["National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China. zhaojie@zzu.edu.cn","National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China. zhaojie@zzu.edu.cn","institution_ids":["https://openalex.org/I4210156804"]},{"raw_affiliation_string":"National Engineering Laboratory for Internet Medical Systems and Applications, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, Henan, 450052, China","institution_ids":["https://openalex.org/I4210156804"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5071321247"],"corresponding_institution_ids":["https://openalex.org/I4210156804"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":1.7449,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.87283578,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"23","issue":"1","first_page":"269","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.2802000045776367,"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":0.2802000045776367,"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":0.218299999833107,"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"}},{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.11410000175237656,"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/telehealth","display_name":"Telehealth","score":0.7964284420013428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7437437176704407},{"id":"https://openalex.org/keywords/triage","display_name":"Triage","score":0.7188548445701599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5882057547569275},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5395871996879578},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.49489253759384155},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46305322647094727},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4517270624637604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44971004128456116},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.41458263993263245},{"id":"https://openalex.org/keywords/telemedicine","display_name":"Telemedicine","score":0.40978094935417175},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35215020179748535},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.244368314743042},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.21202880144119263},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.19089674949645996}],"concepts":[{"id":"https://openalex.org/C2781050511","wikidata":"https://www.wikidata.org/wiki/Q46994","display_name":"Telehealth","level":4,"score":0.7964284420013428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7437437176704407},{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.7188548445701599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5882057547569275},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5395871996879578},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.49489253759384155},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46305322647094727},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4517270624637604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44971004128456116},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.41458263993263245},{"id":"https://openalex.org/C2779891985","wikidata":"https://www.wikidata.org/wiki/Q46994","display_name":"Telemedicine","level":3,"score":0.40978094935417175},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35215020179748535},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.244368314743042},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.21202880144119263},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.19089674949645996},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[{"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014218","descriptor_name":"Triage","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014218","descriptor_name":"Triage","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},{"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":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-023-02367-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02367-1","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02367-1","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:37990204","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37990204","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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10664586","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10664586","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10664586/pdf/12911_2023_Article_2367.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:6b7d3c441bae48f2ba57be964bde8f53","is_oa":true,"landing_page_url":"https://doaj.org/article/6b7d3c441bae48f2ba57be964bde8f53","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-10 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-023-02367-1","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-023-02367-1","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-023-02367-1","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3560758615","display_name":null,"funder_award_id":"2022ZD0160704","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388860805.pdf"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1615991656","https://openalex.org/W1976308099","https://openalex.org/W2003798170","https://openalex.org/W2250539671","https://openalex.org/W2906351693","https://openalex.org/W2936273339","https://openalex.org/W2944851425","https://openalex.org/W2979543333","https://openalex.org/W2986165956","https://openalex.org/W3007075806","https://openalex.org/W3010362629","https://openalex.org/W3017117251","https://openalex.org/W3042110234","https://openalex.org/W3100890829","https://openalex.org/W3110796593","https://openalex.org/W3164454789","https://openalex.org/W3187050322","https://openalex.org/W3194008353","https://openalex.org/W4200139321","https://openalex.org/W6712311786"],"related_works":["https://openalex.org/W3170020535","https://openalex.org/W2970477638","https://openalex.org/W2912378903","https://openalex.org/W4389781895","https://openalex.org/W2410804002","https://openalex.org/W4308006235","https://openalex.org/W1483331398","https://openalex.org/W3181210348","https://openalex.org/W3185086095","https://openalex.org/W2560606102"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,169,188],"widespread":[2],"adoption":[3],"of":[4,64,163,179,185,207],"telehealth":[5,65,141,189,208],"services":[6],"necessitates":[7],"accurate":[8],"online":[9],"department":[10],"selection":[11],"based":[12,45,172],"on":[13,46,90],"patient":[14,122,224],"medical":[15,21,34,73,80,93,110],"records,":[16,77],"a":[17,47,70,99,109,126,177],"task":[18],"requiring":[19],"significant":[20],"knowledge.":[22],"Incorrect":[23],"triage":[24,43,139,190],"results":[25],"in":[26,193],"considerable":[27],"time":[28],"wastage":[29],"for":[30,140],"both":[31],"patients":[32],"and":[33,62,85,125,154,160,166,181,200,205,215,226],"professionals.":[35],"To":[36],"address":[37],"this,":[38],"we":[39],"propose":[40],"an":[41,182],"intelligent":[42,138],"model":[44,191,236],"Bidirectional":[48],"Long":[49],"Short-Term":[50],"Memory":[51],"(Bi-LSTM)":[52],"neural":[53,129,174],"network":[54,130,175],"with":[55,108],"character":[56,106,113,170],"embedding":[57,171,211],"to":[58,104,118,133,233],"enhance":[59,235],"the":[60,91,157,203,229],"efficiency":[61,204],"capacity":[63,206],"services.":[66,142,209],"METHODS:":[67],"We":[68],"gathered":[69],"1.3":[71],"GB":[72],"dataset":[74],"comprising":[75],"200,000":[76],"each":[78],"including":[79],"history,":[81],"physical":[82],"examination":[83],"data,":[84],"other":[86],"pertinent":[87],"information":[88],"found":[89],"electronic":[92],"record":[94],"homepage.":[95],"Following":[96],"data":[97,147],"preprocessing,":[98],"clinical":[100,152],"corpus":[101,153],"was":[102,131],"established":[103],"train":[105],"embeddings":[107,114],"context.":[111],"These":[112],"were":[115,149],"then":[116],"utilized":[117],"extract":[119],"features":[120,221],"from":[121,151],"chief":[123,145,230],"complaints,":[124,136],"2-layer":[127],"Bi-LSTM":[128,173],"trained":[132],"categorize":[134],"these":[135],"enabling":[137],"RESULTS:":[143],"60,000":[144],"complaint-department":[146],"pairs":[148],"extracted":[150],"divided":[155],"into":[156,228],"training,":[158],"validation,":[159],"test":[161],"sets":[162],"42,000,":[164],"9,000,":[165,167],"respectively.":[168],"achieved":[176],"macro-precision":[178],"85.50%":[180],"F1":[183],"score":[184],"85.45%.":[186],"CONCLUSION:":[187],"developed":[192],"this":[194],"study":[195],"demonstrates":[196],"strong":[197],"implementation":[198],"outcomes":[199],"significantly":[201],"improves":[202],"Character":[210],"outperforms":[212],"word":[213],"embedding,":[214],"future":[216,234],"work":[217],"will":[218],"incorporate":[219],"additional":[220],"such":[222],"as":[223],"age":[225],"gender":[227],"complaint":[231],"feature":[232],"performance.":[237]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-17T06:14:20.161405","created_date":"2025-10-10T00:00:00"}