{"id":"https://openalex.org/W7133699238","doi":"https://doi.org/10.3991/ijoe.v22i03.57779","title":"DeepAsthmaNet: A Time-Aware Federated Prognostic Framework for Personalised Paediatric Asthma Risk Stratification in Primary Care","display_name":"DeepAsthmaNet: A Time-Aware Federated Prognostic Framework for Personalised Paediatric Asthma Risk Stratification in Primary Care","publication_year":2026,"publication_date":"2026-03-05","ids":{"openalex":"https://openalex.org/W7133699238","doi":"https://doi.org/10.3991/ijoe.v22i03.57779"},"language":null,"primary_location":{"id":"doi:10.3991/ijoe.v22i03.57779","is_oa":true,"landing_page_url":"https://doi.org/10.3991/ijoe.v22i03.57779","pdf_url":"https://online-journals.org/index.php/i-joe/article/download/57779/17069","source":{"id":"https://openalex.org/S4210211237","display_name":"International Journal of Online and Biomedical Engineering (iJOE)","issn_l":"2626-8493","issn":["2626-8493"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Online and Biomedical Engineering (iJOE)","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://online-journals.org/index.php/i-joe/article/download/57779/17069","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052953850","display_name":"Pushkal Kumar Shukla","orcid":"https://orcid.org/0009-0002-8463-4352"},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pushkal Kumar Shukla","raw_affiliation_strings":["AIIT, Amity University, Noida, India"],"raw_orcid":"https://orcid.org/0009-0002-8463-4352","affiliations":[{"raw_affiliation_string":"AIIT, Amity University, Noida, India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128176313","display_name":"Sarika Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I191972202","display_name":"Amity University","ror":"https://ror.org/02n9z0v62","country_code":"IN","type":"education","lineage":["https://openalex.org/I191972202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sarika Jain","raw_affiliation_strings":["AIIT, Amity University, Noida, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AIIT, Amity University, Noida, India","institution_ids":["https://openalex.org/I191972202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031127984","display_name":"Siddharth Kalra","orcid":"https://orcid.org/0000-0002-1660-4090"},"institutions":[{"id":"https://openalex.org/I18850439","display_name":"Capgemini (Netherlands)","ror":"https://ror.org/03amxdk57","country_code":"NL","type":"company","lineage":["https://openalex.org/I18850439","https://openalex.org/I4210136798"]},{"id":"https://openalex.org/I4210109018","display_name":"Capgemini (United States)","ror":"https://ror.org/01mge3v08","country_code":"US","type":"company","lineage":["https://openalex.org/I4210109018","https://openalex.org/I4210136798"]}],"countries":["NL","US"],"is_corresponding":false,"raw_author_name":"Siddharth Kalra","raw_affiliation_strings":["Capgemini, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capgemini, Melbourne, Australia","institution_ids":["https://openalex.org/I18850439","https://openalex.org/I4210109018"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":290,"currency":"EUR","value_usd":312},"apc_paid":{"value":290,"currency":"EUR","value_usd":312},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.25114387,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10051","display_name":"Asthma and respiratory diseases","score":0.4512999951839447,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T10051","display_name":"Asthma and respiratory diseases","score":0.4512999951839447,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.23919999599456787,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.02160000056028366,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/redundancy","display_name":"Redundancy (engineering)","score":0.4932999908924103},{"id":"https://openalex.org/keywords/primary-care","display_name":"Primary care","score":0.47929999232292175},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"Risk stratification","score":0.4738999903202057},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.39879998564720154},{"id":"https://openalex.org/keywords/asthma","display_name":"Asthma","score":0.3840999901294708},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3190000057220459},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.31380000710487366},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"Risk assessment","score":0.30790001153945923}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5776000022888184},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4932999908924103},{"id":"https://openalex.org/C2984752397","wikidata":"https://www.wikidata.org/wiki/Q3259956","display_name":"Primary care","level":2,"score":0.47929999232292175},{"id":"https://openalex.org/C3020404979","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk stratification","level":2,"score":0.4738999903202057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44850000739097595},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.39879998564720154},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38670000433921814},{"id":"https://openalex.org/C2776042228","wikidata":"https://www.wikidata.org/wiki/Q35869","display_name":"Asthma","level":2,"score":0.3840999901294708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36880001425743103},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.3330000042915344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.31380000710487366},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2897999882698059},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2662000060081482},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.26339998841285706},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.25290000438690186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3991/ijoe.v22i03.57779","is_oa":true,"landing_page_url":"https://doi.org/10.3991/ijoe.v22i03.57779","pdf_url":"https://online-journals.org/index.php/i-joe/article/download/57779/17069","source":{"id":"https://openalex.org/S4210211237","display_name":"International Journal of Online and Biomedical Engineering (iJOE)","issn_l":"2626-8493","issn":["2626-8493"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Online and Biomedical Engineering (iJOE)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3991/ijoe.v22i03.57779","is_oa":true,"landing_page_url":"https://doi.org/10.3991/ijoe.v22i03.57779","pdf_url":"https://online-journals.org/index.php/i-joe/article/download/57779/17069","source":{"id":"https://openalex.org/S4210211237","display_name":"International Journal of Online and Biomedical Engineering (iJOE)","issn_l":"2626-8493","issn":["2626-8493"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Online and Biomedical Engineering (iJOE)","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7133699238.pdf","grobid_xml":"https://content.openalex.org/works/W7133699238.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Asthma":[0],"in":[1],"children":[2],"is":[3],"still":[4],"a":[5,10,33],"common":[6],"chronic":[7],"illness":[8],"with":[9,95,131],"wide":[11],"range":[12],"of":[13,52,89,98,102,107,137],"clinical":[14],"manifestations":[15],"and":[16,20,26,44,59,67,80,104,127,141],"progressions.":[17],"Timely":[18],"action":[19],"individualised":[21],"care":[22],"depend":[23],"on":[24],"early":[25],"precise":[27],"risk":[28],"assessment.":[29],"This":[30],"study":[31],"presents":[32],"federated":[34,122],"architecture":[35],"used":[36],"to":[37,47],"train":[38],"DeepAsthmaNet":[39],"integrates":[40],"deep":[41],"neural":[42],"architectures":[43],"attention":[45],"mechanisms":[46],"enable":[48],"early,":[49],"accurate":[50],"prediction":[51],"childhood":[53],"asthma":[54],"by":[55],"combining":[56],"clinical,":[57],"genetic":[58,75],"environmental":[60,78],"data.":[61],"After":[62],"rigorous":[63],"preprocessing,":[64],"feature":[65],"engineering":[66],"redundancy":[68],"elimination,":[69],"the":[70,134],"pipeline":[71],"leverages":[72],"inputs":[73],"from":[74],"biomarkers,":[76],"wearables,":[77],"sensors,":[79],"electronic":[81],"health":[82],"records.":[83],"At":[84],"an":[85,96,100,105],"optimal":[86],"learning":[87],"rate":[88],"0.80,":[90],"it":[91],"achieves":[92],"superior":[93],"performance":[94],"MSE":[97],"0.00015,":[99],"MAE":[101],"0.0051,":[103],"AUC":[106],"0.9773,":[108],"outperforming":[109],"baseline":[110],"models":[111],"(ANN,":[112],"DNN,":[113],"RNN,":[114],"LSTM).":[115],"To":[116],"handle":[117],"heterogeneous":[118],"distributed":[119],"data,":[120],"three":[121],"aggregation":[123],"strategies,":[124],"FedAvg,":[125],"FedProx":[126],"Krum,":[128],"were":[129],"tested,":[130],"FedAvg":[132],"delivering":[133],"best":[135],"balance":[136],"accuracy,":[138],"convergence":[139],"stability":[140],"communication":[142],"efficiency.":[143]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-06T00:00:00"}