{"id":"https://openalex.org/W4412066683","doi":"https://doi.org/10.3389/fdata.2025.1594062","title":"AI-powered smart emergency services support for 9-1-1 call handlers using textual features and SVM model for digital health optimization","display_name":"AI-powered smart emergency services support for 9-1-1 call handlers using textual features and SVM model for digital health optimization","publication_year":2025,"publication_date":"2025-07-07","ids":{"openalex":"https://openalex.org/W4412066683","doi":"https://doi.org/10.3389/fdata.2025.1594062","pmid":"https://pubmed.ncbi.nlm.nih.gov/40692690"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2025.1594062","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2025.1594062","pdf_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1594062/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1594062/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050495099","display_name":"Afraa Attiah","orcid":"https://orcid.org/0000-0002-3351-904X"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Afraa Attiah","raw_affiliation_strings":["Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050617056","display_name":"Manal Kalkatawi","orcid":"https://orcid.org/0000-0002-9820-4129"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Manal Kalkatawi","raw_affiliation_strings":["Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050495099"],"corresponding_institution_ids":["https://openalex.org/I185163786"],"apc_list":{"value":1150,"currency":"USD","value_usd":1150},"apc_paid":{"value":1150,"currency":"USD","value_usd":1150},"fwci":7.8371,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.97005046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"1594062","last_page":"1594062"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13559","display_name":"Edcuational Technology Systems","score":0.8988999724388123,"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/T13559","display_name":"Edcuational Technology Systems","score":0.8988999724388123,"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":0.8888999819755554,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.8881999850273132,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6850797533988953},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6330106854438782},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.5749716758728027},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48424026370048523},{"id":"https://openalex.org/keywords/mistake","display_name":"Mistake","score":0.4803217947483063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4790952503681183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4768698811531067},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4446377754211426},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34309259057044983},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32302504777908325}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6850797533988953},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6330106854438782},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.5749716758728027},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48424026370048523},{"id":"https://openalex.org/C2777179996","wikidata":"https://www.wikidata.org/wiki/Q911222","display_name":"Mistake","level":2,"score":0.4803217947483063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4790952503681183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4768698811531067},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4446377754211426},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34309259057044983},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32302504777908325},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/fdata.2025.1594062","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2025.1594062","pdf_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1594062/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:40692690","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40692690","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":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:doaj.org/article:c7155f119490403a930da3b382936b10","is_oa":true,"landing_page_url":"https://doaj.org/article/c7155f119490403a930da3b382936b10","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":"Frontiers in Big Data, Vol 8 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12277377","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12277377","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Front Big Data","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3389/fdata.2025.1594062","is_oa":true,"landing_page_url":"https://doi.org/10.3389/fdata.2025.1594062","pdf_url":"https://www.frontiersin.org/journals/big-data/articles/10.3389/fdata.2025.1594062/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412066683.pdf","grobid_xml":"https://content.openalex.org/works/W4412066683.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1579838312","https://openalex.org/W2008056655","https://openalex.org/W2031213082","https://openalex.org/W2550431173","https://openalex.org/W2564347032","https://openalex.org/W2809254203","https://openalex.org/W3028765017","https://openalex.org/W3200511215","https://openalex.org/W4205193462","https://openalex.org/W4212883601","https://openalex.org/W4309101631","https://openalex.org/W4310117749","https://openalex.org/W4319315158"],"related_works":["https://openalex.org/W1590719878","https://openalex.org/W4244271513","https://openalex.org/W2365974527","https://openalex.org/W4306382224","https://openalex.org/W4226517682","https://openalex.org/W3108263396","https://openalex.org/W2895872277","https://openalex.org/W1561425952","https://openalex.org/W2496555895","https://openalex.org/W4236454870"],"abstract_inverted_index":{"In":[0],"emergency":[1,22,122,180,193,262],"situations,":[2],"9-1-1":[3,63,229],"is":[4,103,144,158,222],"considered":[5],"the":[6,21,26,33,41,107,141,147,155,161,192,210,247],"first":[7,142],"point":[8],"of":[9,29,109,198,212,219,249],"contact,":[10],"and":[11,32,89,124,154,167,214,232,271],"their":[12],"call":[13,42,97,149,230],"handlers":[14,43,98,231],"play":[15],"a":[16,55,183],"crucial":[17],"role":[18],"in":[19,54,65,130,138,204],"managing":[20],"response.":[23],"Due":[24],"to":[25,95,105,114,121,145,159,170,190,223,228],"large":[27],"number":[28],"daily":[30],"calls":[31],"hectic":[34],"routine,":[35],"there":[36],"are":[37,209],"severe":[38],"chances":[39],"that":[40,84,128],"can":[44,260],"make":[45],"any":[46],"mistake":[47],"or":[48,60],"human":[49],"error":[50],"during":[51,99],"data":[52,100],"taking":[53],"high-pressure":[56],"environment.":[57],"These":[58],"mistakes":[59],"errors":[61],"impact":[62],"performance":[64],"emergencies.":[66],"To":[67],"address":[68],"this":[69,71],"problem,":[70],"research":[72,244],"introduces":[73],"an":[74,196],"AI-powered":[75],"digital":[76,151,225,250],"health":[77,251],"framework":[78,136],"called":[79],"Emergency":[80],"Calls":[81],"Assistant":[82],"(ECA)":[83],"leverages":[85],"artificial":[86],"intelligence":[87],"(AI)":[88],"natural":[90],"language":[91],"processing":[92],"(NLP)":[93],"techniques":[94,169],"assist":[96],"collection.":[101],"ECA":[102,135],"designed":[104],"predict":[106],"type":[108],"emergency,":[110],"suggest":[111,118],"relevant":[112],"questions":[113],"collect":[115],"deeper":[116],"information,":[117],"pre-arrival":[119],"instructions":[120],"personnel,":[123],"generate":[125],"incident":[126],"reports":[127],"helps":[129],"data-driven":[131],"decision":[132,257],"making.":[133],"The":[134,174,200,217],"works":[137],"two":[139],"phases;":[140],"phase":[143,157,176],"convert":[146],"audio":[148],"into":[150],"textual":[152,162],"form,":[153],"second":[156,175],"analyze":[160],"information":[163],"using":[164,182],"NLP":[165],"tools":[166],"mining":[168],"retrieve":[171],"contextual":[172],"information.":[173],"also":[177],"deals":[178],"with":[179,195,246],"categorization":[181,205],"support":[184,258],"vector":[185],"machine":[186],"(SVM)":[187],"learning":[188],"model":[189],"prioritize":[191],"dealing":[194],"accuracy":[197],"92.7%.":[199],"key":[201],"factors":[202],"involved":[203],"by":[206,235,239,253],"ML":[207],"models":[208],"severity":[211],"injury":[213],"weapons":[215],"involvement.":[216],"objective":[218],"ECA's":[220],"development":[221],"provide":[224],"health-saving":[226],"technology":[227],"save":[233],"lives":[234],"making":[236],"accurate":[237],"decisions":[238],"providing":[240],"real-time":[241,268],"assistance.":[242],"This":[243],"aligns":[245],"advancement":[248],"technologies":[252],"exhibiting":[254],"how":[255],"NLP-driven":[256],"systems":[259],"revolutionize":[261],"healthcare,":[263],"improve":[264],"patient":[265],"outcomes":[266],"through":[267],"AI":[269],"integration,":[270],"reduce":[272],"errors.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
