{"id":"https://openalex.org/W7093321036","doi":"https://doi.org/10.1109/idsta66210.2025.11202834","title":"Optimizing Fetal Health Diagnosis: An Active Learning Framework with LightGBM","display_name":"Optimizing Fetal Health Diagnosis: An Active Learning Framework with LightGBM","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W7093321036","doi":"https://doi.org/10.1109/idsta66210.2025.11202834"},"language":null,"primary_location":{"id":"doi:10.1109/idsta66210.2025.11202834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idsta66210.2025.11202834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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":"Sana Fatima","orcid":null},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sana Fatima","raw_affiliation_strings":["National University of Computer and Emerging Sciences,Department of Computer Science,Lahore,Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Computer and Emerging Sciences,Department of Computer Science,Lahore,Pakistan","institution_ids":["https://openalex.org/I201384688"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mamoona Akbar","orcid":null},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Mamoona Akbar","raw_affiliation_strings":["National University of Computer and Emerging Sciences,Department of Computer Science,Lahore,Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Computer and Emerging Sciences,Department of Computer Science,Lahore,Pakistan","institution_ids":["https://openalex.org/I201384688"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haroon Mahmood","orcid":null},"institutions":[{"id":"https://openalex.org/I161913731","display_name":"Al Ain University","ror":"https://ror.org/023abrt21","country_code":"AE","type":"education","lineage":["https://openalex.org/I161913731"]},{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Haroon Mahmood","raw_affiliation_strings":["College of Engineering, Al Ain University,Al Ain,United Arab Emirates UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Al Ain University,Al Ain,United Arab Emirates UAE","institution_ids":["https://openalex.org/I161913731","https://openalex.org/I201726411"]}]},{"author_position":"last","author":{"id":null,"display_name":"Anosha Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I201384688","display_name":"National University of Computer and Emerging Sciences","ror":"https://ror.org/003eyb898","country_code":"PK","type":"education","lineage":["https://openalex.org/I201384688"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Anosha Khan","raw_affiliation_strings":["National University of Computer and Emerging Sciences,Department of Computer Science,Lahore,Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Computer and Emerging Sciences,Department of Computer Science,Lahore,Pakistan","institution_ids":["https://openalex.org/I201384688"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7312,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91064524,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"9","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.2897999882698059,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.2897999882698059,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.16940000653266907,"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/T11184","display_name":"Neonatal and fetal brain pathology","score":0.06120000034570694,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"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/boosting","display_name":"Boosting (machine learning)","score":0.578000009059906},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.5569000244140625},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.47920000553131104},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.41510000824928284},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.325300008058548},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.29339998960494995}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.697700023651123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5874999761581421},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.578000009059906},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.5569000244140625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4959999918937683},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.47920000553131104},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.41510000824928284},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3797999918460846},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.325300008058548},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C2909950764","wikidata":"https://www.wikidata.org/wiki/Q17126141","display_name":"Active monitoring","level":2,"score":0.2773999869823456},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2736999988555908},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idsta66210.2025.11202834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idsta66210.2025.11202834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7260820269584656,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1984186688","https://openalex.org/W2148143831","https://openalex.org/W2807758217","https://openalex.org/W2979740388","https://openalex.org/W2986514296","https://openalex.org/W3025091470","https://openalex.org/W3127303425","https://openalex.org/W3160236391","https://openalex.org/W3209085442","https://openalex.org/W3216076364","https://openalex.org/W4206749472","https://openalex.org/W4309217829","https://openalex.org/W4362589850","https://openalex.org/W4378516256","https://openalex.org/W4385273728","https://openalex.org/W4391696963","https://openalex.org/W4393092361","https://openalex.org/W4394995046","https://openalex.org/W4401133829","https://openalex.org/W4403147461","https://openalex.org/W4405598823","https://openalex.org/W4405652559","https://openalex.org/W4406171704"],"related_works":[],"abstract_inverted_index":{"Fetal":[0],"health":[1,21,42],"classification":[2,116],"is":[3,22],"crucial":[4],"for":[5,89],"the":[6,12,85,93],"timely":[7,52],"identification":[8],"of":[9,14,19,32,48,121],"abnormalities":[10,49],"and":[11,29,34,50,69,130],"improvement":[13],"neonatal":[15],"care.":[16],"Early":[17],"prediction":[18],"fetal":[20,41],"necessary":[23],"to":[24,71],"ensure":[25],"a":[26],"healthy":[27],"pregnancy":[28],"lower":[30],"rates":[31],"maternal":[33],"newborn":[35],"mortality.":[36],"Machine":[37],"learning":[38,58,77,103],"algorithms":[39],"improve":[40],"monitoring":[43],"by":[44,82],"enabling":[45],"early":[46],"detection":[47],"facilitating":[51],"medical":[53,74],"interventions.":[54],"However,":[55],"traditional":[56],"machine":[57],"models":[59],"rely":[60],"on":[61],"large":[62],"labeled":[63],"datasets,":[64],"which":[65],"are":[66],"often":[67],"costly":[68],"time-consuming":[70],"obtain":[72],"in":[73],"applications.":[75],"Active":[76],"(AL)":[78],"mitigates":[79],"this":[80,97],"challenge":[81],"strategically":[83],"selecting":[84],"most":[86],"informative":[87],"samples":[88],"annotation,":[90],"significantly":[91,125],"reducing":[92,126],"labeling":[94],"effort.":[95,131],"In":[96],"paper,":[98],"we":[99],"present":[100],"an":[101],"active":[102],"approach":[104],"coupled":[105],"with":[106,118],"LightGBM":[107],"(Gradient":[108],"Boosting":[109],"Machine)":[110],"that":[111],"achieves":[112],"more":[113],"than":[114],"99%":[115],"accuracy":[117],"merely":[119],"16%":[120],"training":[122],"data":[123,127],"thus":[124],"annotation":[128],"cost":[129]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-14T07:44:22.658603","created_date":"2025-10-24T00:00:00"}
