{"id":"https://openalex.org/W4396705274","doi":"https://doi.org/10.2174/0118749445285615240402072009","title":"Deployment of a Phenotypic Characterization System for Effective Identification of the Onset of Asthma Disease","display_name":"Deployment of a Phenotypic Characterization System for Effective Identification of the Onset of Asthma Disease","publication_year":2024,"publication_date":"2024-05-07","ids":{"openalex":"https://openalex.org/W4396705274","doi":"https://doi.org/10.2174/0118749445285615240402072009"},"language":"en","primary_location":{"id":"doi:10.2174/0118749445285615240402072009","doi":"https://doi.org/10.2174/0118749445285615240402072009","is_oa":true,"landing_page_url":"https://doi.org/10.2174/0118749445285615240402072009","pdf_url":null,"source":{"id":"https://openalex.org/S170533558","display_name":"The Open Public Health Journal","issn_l":"1874-9445","issn":["1874-9445"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320079","host_organization_name":"Bentham Science Publishers","host_organization_lineage":["https://openalex.org/P4310320079"],"host_organization_lineage_names":["Bentham Science Publishers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Open Public Health Journal","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.2174/0118749445285615240402072009","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000139605","display_name":"M R Pooja","orcid":"https://orcid.org/0000-0001-6225-8486","observed_orcids":["https://orcid.org/0000-0001-6225-8486"]},"institutions":[{"id":"https://openalex.org/I138564716","display_name":"Prince Mohammad bin Fahd University","ror":"https://ror.org/03d64na34","country_code":"SA","type":"education","lineage":["https://openalex.org/I138564716"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Pooja M. R","raw_affiliation_strings":["Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia","Department of Computer Science & Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka 57002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia","institution_ids":["https://openalex.org/I138564716"]},{"raw_affiliation_string":"Department of Computer Science & Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka 57002","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040100735","display_name":"Vinayakumar Ravi","orcid":"https://orcid.org/0000-0001-6873-6469","observed_orcids":["https://orcid.org/0000-0001-6873-6469"]},"institutions":[{"id":"https://openalex.org/I138564716","display_name":"Prince Mohammad bin Fahd University","ror":"https://ror.org/03d64na34","country_code":"SA","type":"education","lineage":["https://openalex.org/I138564716"]}],"countries":["SA"],"is_corresponding":true,"raw_author_name":"Vinayakumar Ravi","raw_affiliation_strings":["Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia","Department of Computer Science & Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka 57002"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia","institution_ids":["https://openalex.org/I138564716"]},{"raw_affiliation_string":"Department of Computer Science & Engineering Vidyavardhaka College of Engineering, Mysuru, Karnataka 57002","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093345795","display_name":"Alanoud Al Mazroa","orcid":"https://orcid.org/0000-0002-6201-0410","observed_orcids":["https://orcid.org/0000-0002-6201-0410","https://orcid.org/0009-0000-2686-1798"]},"institutions":[{"id":"https://openalex.org/I106778892","display_name":"Princess Nourah bint Abdulrahman University","ror":"https://ror.org/05b0cyh02","country_code":"SA","type":"education","lineage":["https://openalex.org/I106778892"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Alanoud Al Mazroa","raw_affiliation_strings":["Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University (PNU), P.O. Box 84428, Riyadh 11671, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University (PNU), P.O. Box 84428, Riyadh 11671, Saudi Arabia","institution_ids":["https://openalex.org/I106778892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111250164","display_name":"Pradeep Ravi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pradeep Ravi","raw_affiliation_strings":["Department of Computer Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysuru, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, GSSS Institute of Engineering and Technology for Women, Mysuru, Karnataka, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000139605","https://openalex.org/A5040100735"],"corresponding_institution_ids":["https://openalex.org/I138564716"],"apc_list":null,"apc_paid":null,"fwci":0.213,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48943712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"17","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9247999787330627,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9247999787330627,"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"}},{"id":"https://openalex.org/T10051","display_name":"Asthma and respiratory diseases","score":0.06830000132322311,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.0015999999595806003,"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/asthma","display_name":"asthma","score":0.9120000004768372},{"id":"https://openalex.org/keywords/phenotypic-characterization","display_name":"phenotypic characterization","score":0.8790000081062317},{"id":"https://openalex.org/keywords/asthma-subtypes","display_name":"asthma subtypes","score":0.6159999966621399},{"id":"https://openalex.org/keywords/disease-onset-prediction","display_name":"disease onset prediction","score":0.7490000128746033},{"id":"https://openalex.org/keywords/hybrid-supervised-and-unsupervised-learning","display_name":"hybrid supervised and unsupervised learning","score":0.7889999747276306},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.6159999966621399},{"id":"https://openalex.org/keywords/clinical-decision-support-systems","display_name":"clinical decision support systems","score":0.8270000219345093},{"id":"https://openalex.org/keywords/urban-and-rural-population","display_name":"rural and urban populations","score":0.871999979019165},{"id":"https://openalex.org/keywords/asthma-heterogeneity","display_name":"asthma heterogeneity","score":0.45899999141693115}],"concepts":[{"id":"https://openalex.org/C2776042228","wikidata":"https://www.wikidata.org/wiki/Q35869","display_name":"Asthma","level":2,"score":0.702194094657898},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6941133737564087},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6482393741607666},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.49873971939086914},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.4978318214416504},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4522148668766022},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3807412087917328},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31942713260650635},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2380063235759735},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.21090847253799438},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.1908089816570282},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15094086527824402},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.05000290274620056},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2174/0118749445285615240402072009","doi":"https://doi.org/10.2174/0118749445285615240402072009","is_oa":true,"landing_page_url":"https://doi.org/10.2174/0118749445285615240402072009","pdf_url":null,"source":{"id":"https://openalex.org/S170533558","display_name":"The Open Public Health Journal","issn_l":"1874-9445","issn":["1874-9445"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320079","host_organization_name":"Bentham Science Publishers","host_organization_lineage":["https://openalex.org/P4310320079"],"host_organization_lineage_names":["Bentham Science Publishers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Open Public Health Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2174/0118749445285615240402072009","doi":"https://doi.org/10.2174/0118749445285615240402072009","is_oa":true,"landing_page_url":"https://doi.org/10.2174/0118749445285615240402072009","pdf_url":null,"source":{"id":"https://openalex.org/S170533558","display_name":"The Open Public Health Journal","issn_l":"1874-9445","issn":["1874-9445"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4310320079","host_organization_name":"Bentham Science Publishers","host_organization_lineage":["https://openalex.org/P4310320079"],"host_organization_lineage_names":["Bentham Science Publishers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Open Public Health Journal","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9476000070571899}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1498205805","https://openalex.org/W1808652302","https://openalex.org/W1979643807","https://openalex.org/W1983526034","https://openalex.org/W2094084410","https://openalex.org/W2114695306","https://openalex.org/W2144618940","https://openalex.org/W2150035260","https://openalex.org/W2153384298","https://openalex.org/W2474956833","https://openalex.org/W2578743008","https://openalex.org/W2768790859","https://openalex.org/W2795890608","https://openalex.org/W2898812155","https://openalex.org/W3031372125","https://openalex.org/W3160052398","https://openalex.org/W4224909159","https://openalex.org/W4283699723","https://openalex.org/W4286214900","https://openalex.org/W4296466187","https://openalex.org/W4309924302","https://openalex.org/W4312491415","https://openalex.org/W4386030449","https://openalex.org/W4387249921","https://openalex.org/W4387958744","https://openalex.org/W4389902652"],"related_works":["https://openalex.org/W4392561699","https://openalex.org/W2474956833","https://openalex.org/W4404954305","https://openalex.org/W2114695306","https://openalex.org/W4367607235","https://openalex.org/W7155174314","https://openalex.org/W4395689799","https://openalex.org/W7167913239","https://openalex.org/W2795890608","https://openalex.org/W4414545134"],"abstract_inverted_index":{"Background":[0],"Essentially,":[1],"machine":[2,38],"learning":[3,39,116],"techniques":[4,43,117],"help":[5],"with":[6,90,168,189],"clinical":[7,26,55,91,95],"decision-making":[8],"by":[9,72,159],"forecasting":[10],"prediction":[11,51],"results":[12],"based":[13],"on":[14],"recent":[15],"and":[16,69,80,97,114,138,175],"historical":[17],"data,":[18,37],"which":[19],"are":[20],"frequently":[21],"found":[22],"in":[23,35,62,82,150,195],"carefully":[24],"chosen":[25],"data":[27,85,126],"repositories.":[28],"In":[29],"order":[30],"to":[31,53,118,135,173,206],"uncover":[32],"hidden":[33],"patterns":[34,98],"the":[36,84,87,100,112,120,128,136,139,142,151,160,178,196,207],"applies":[40],"sophisticated":[41],"analytical":[42],"that":[44],"conduct":[45],"an":[46,203],"exploratory":[47],"analysis":[48],"while":[49],"constructing":[50],"models":[52],"support":[54,163],"judgment.":[56],"Objective":[57],"To":[58],"effectively":[59,210],"identify":[60],"asthmatics":[61],"two":[63,88,179],"distinct":[64],"cohorts":[65],"representing":[66],"India's":[67],"rural":[68],"urban":[70],"populations":[71],"adopting":[73],"a":[74,105,186],"phenotypic":[75,129],"characterization":[76],"approach.":[77],"Methods":[78],"Cross-sectional":[79],"categorical":[81],"design,":[83],"represent":[86],"populations,":[89],"history":[92],"information":[93,194],"emphasizing":[94,127],"symptoms":[96],"defining":[99],"condition.":[101],"The":[102,124],"method":[103],"adopts":[104],"hybrid":[106,161],"approach":[107],"since":[108],"it":[109],"uniquely":[110],"blends":[111],"unsupervised":[113],"supervised":[115],"explore":[119],"advantages":[121],"of":[122,131,141,198],"both.":[123],"clustering":[125,193],"characteristics":[130],"asthma":[132,184],"is":[133,185],"input":[134,204],"classifier,":[137],"performance":[140],"classifier":[143],"was":[144],"continuously":[145],"monitored":[146],"for":[147,177],"significant":[148],"improvement":[149],"results.":[152],"Results":[153],"Asthma":[154],"disease":[155,188,212],"outcome":[156],"predictions":[157],"made":[158],"decision":[162],"system":[164],"were":[165],"quite":[166],"accurate,":[167],"classification":[169],"accuracy":[170],"reaching":[171],"up":[172],"85.1%":[174],"95.3%":[176],"datasets,":[180],"respectively.":[181],"Conclusion":[182],"Since":[183],"heterogeneous":[187],"multiple":[190],"subtypes,":[191],"employing":[192],"form":[197],"cluster":[199],"evaluation":[200],"scores":[201],"as":[202],"parameter":[205],"classifiers":[208],"can":[209],"predict":[211],"outcomes.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-05-08T00:00:00"}