{"id":"https://openalex.org/W4317600379","doi":"https://doi.org/10.1109/aiccsa56895.2022.10017305","title":"Machine Learning Models for Early Prediction of Asthma Attacks Based on Bio-signals and Environmental Triggers","display_name":"Machine Learning Models for Early Prediction of Asthma Attacks Based on Bio-signals and Environmental Triggers","publication_year":2022,"publication_date":"2022-12-01","ids":{"openalex":"https://openalex.org/W4317600379","doi":"https://doi.org/10.1109/aiccsa56895.2022.10017305"},"language":"en","primary_location":{"id":"doi:10.1109/aiccsa56895.2022.10017305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa56895.2022.10017305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)","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":"https://openalex.org/A5070901836","display_name":"Eman Alharbi","orcid":null},"institutions":[{"id":"https://openalex.org/I199693650","display_name":"Umm al-Qura University","ror":"https://ror.org/01xjqrm90","country_code":"SA","type":"education","lineage":["https://openalex.org/I199693650"]},{"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":"Eman Alharbi","raw_affiliation_strings":["King Abdulaziz University,Department of Information Systems,Jeddah,Saudi Arabia","Department of Information Systems, Umm Al-Oura University, Makkah, Saudi Arabia","Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdulaziz University,Department of Information Systems,Jeddah,Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]},{"raw_affiliation_string":"Department of Information Systems, Umm Al-Oura University, Makkah, Saudi Arabia","institution_ids":["https://openalex.org/I199693650"]},{"raw_affiliation_string":"Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055104719","display_name":"Asma Cherif","orcid":"https://orcid.org/0000-0003-3875-074X"},"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":"Asma Cherif","raw_affiliation_strings":["King Abdulaziz University,Department of Information Technology,Jeddah,Saudi Arabia","Center of Excellence in Smart Environment Research, King Abdulaziz University, Jeddah, Saudi Arabia","Department of Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdulaziz University,Department of Information Technology,Jeddah,Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]},{"raw_affiliation_string":"Center of Excellence in Smart Environment Research, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]},{"raw_affiliation_string":"Department of Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036738484","display_name":"Farrukh Nadeem","orcid":"https://orcid.org/0000-0003-2696-9736"},"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":"Farrukh Nadeem","raw_affiliation_strings":["King Abdulaziz University,Department of Information Systems,Jeddah,Saudi Arabia","Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"King Abdulaziz University,Department of Information Systems,Jeddah,Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]},{"raw_affiliation_string":"Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003163683","display_name":"Tariq Mirza","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127754","display_name":"Ministry of Health","ror":"https://ror.org/030atj633","country_code":"SA","type":"government","lineage":["https://openalex.org/I4210127754"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Tariq Mirza","raw_affiliation_strings":["Academy-Makkah Healthcare, Ministry of Health,Saudi Arabia","Academy-Makkah Healthcare, Ministry of Health, Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Academy-Makkah Healthcare, Ministry of Health,Saudi Arabia","institution_ids":["https://openalex.org/I4210127754"]},{"raw_affiliation_string":"Academy-Makkah Healthcare, Ministry of Health, Saudi Arabia","institution_ids":["https://openalex.org/I4210127754"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070901836"],"corresponding_institution_ids":["https://openalex.org/I185163786","https://openalex.org/I199693650"],"apc_list":null,"apc_paid":null,"fwci":1.0653,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.76856666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10051","display_name":"Asthma and respiratory diseases","score":0.9725000262260437,"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":0.9725000262260437,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.8259140253067017},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8140625953674316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7978744506835938},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7812098264694214},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.7083747386932373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7081981897354126},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.6789149641990662},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6772299408912659},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6071465015411377},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5804907083511353},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5625658631324768},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.5275542140007019},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.49666672945022583},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4871329963207245},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.41084423661231995}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8259140253067017},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8140625953674316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7978744506835938},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7812098264694214},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.7083747386932373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081981897354126},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.6789149641990662},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6772299408912659},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6071465015411377},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5804907083511353},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5625658631324768},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.5275542140007019},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.49666672945022583},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4871329963207245},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.41084423661231995}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aiccsa56895.2022.10017305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aiccsa56895.2022.10017305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6499999761581421,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1472067","https://openalex.org/W1579304828","https://openalex.org/W1979995816","https://openalex.org/W2011597918","https://openalex.org/W2083753594","https://openalex.org/W2094084410","https://openalex.org/W2127823826","https://openalex.org/W2148143831","https://openalex.org/W2153310312","https://openalex.org/W2319135555","https://openalex.org/W2333322309","https://openalex.org/W2477280373","https://openalex.org/W2522681375","https://openalex.org/W2564498768","https://openalex.org/W2601300492","https://openalex.org/W2783579789","https://openalex.org/W2787894218","https://openalex.org/W2805882901","https://openalex.org/W2909523179","https://openalex.org/W2946902376","https://openalex.org/W2957607475","https://openalex.org/W2959341277","https://openalex.org/W4213102919","https://openalex.org/W4239899209"],"related_works":["https://openalex.org/W2953665647","https://openalex.org/W4205712847","https://openalex.org/W4281646320","https://openalex.org/W3169687406","https://openalex.org/W2954882791","https://openalex.org/W4287818966","https://openalex.org/W4388119537","https://openalex.org/W3014750173","https://openalex.org/W3192751261","https://openalex.org/W3200811867"],"abstract_inverted_index":{"Asthma":[0],"is":[1,18,106],"a":[2],"common":[3],"respiratory":[4],"disease":[5],"affected":[6],"by":[7,75],"different":[8,77],"biosignals":[9,40,89],"and":[10,41,60,101,127,172,187],"environmental":[11,42,103],"triggers.":[12],"Early":[13],"prediction":[14,48,73,179],"of":[15,63,180],"asthma":[16,33,46,71],"attacks":[17],"crucial":[19],"to":[20,31,44,56,135,149],"saving":[21],"patient":[22],"lives.":[23],"Several":[24],"machine":[25,64,78,110],"learning":[26,65,79,111],"models":[27],"have":[28,38],"been":[29,54],"designed":[30],"predict":[32],"attacks.":[34],"However,":[35],"few":[36],"researchers":[37],"exploited":[39],"triggers":[43],"build":[45],"attack":[47,72],"models.":[49,66],"Additionally,":[50],"little":[51],"attention":[52],"has":[53],"devoted":[55],"feature":[57],"selection":[58],"algorithms":[59],"the":[61,88,102,115,137,141,156,161,169,175,181],"variation":[62],"This":[67],"study":[68,116],"develops":[69],"an":[70],"model":[74,159],"testing":[76,182],"classifiers.":[80],"The":[81,109,178],"dataset":[82],"used":[83,113,146],"includes":[84],"two":[85],"main":[86],"parts:":[87],"dataset,":[90,104],"which":[91,105],"was":[92,132],"recorded":[93],"daily":[94],"from":[95],"21":[96],"volunteers":[97],"for":[98,140,168,174],"three":[99],"months,":[100],"available":[107],"online.":[108],"classifiers":[112,163],"in":[114],"are":[117],"decision":[118],"tree,":[119],"gradient":[120,157],"boosting":[121],"models,":[122],"logistic":[123],"regression,":[124],"random":[125],"forest,":[126],"support-vector":[128],"machine.":[129],"Each":[130],"classifier":[131],"grid":[133],"searched":[134],"find":[136],"best":[138],"value":[139],"primary":[142],"hyperparameters;":[143],"then,":[144],"we":[145],"five-fold":[147],"cross-validation":[148],"train":[150],"each":[151],"model.":[152],"Results":[153],"show":[154],"that":[155],"boost":[158],"outperforms":[160],"other":[162],"when":[164],"trained":[165],"with":[166],"0.5":[167],"depth":[170],"parameter":[171],"9":[173],"sub-sample":[176],"parameter.":[177],"set":[183],"produces":[184],"97.2%":[185],"accuracy":[186],"97.1":[188],"%":[189],"recall.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}