{"id":"https://openalex.org/W4416250783","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229340","title":"Autism Spectrum Quotient Optimization Based on Machine Learning and Feature Selection","display_name":"Autism Spectrum Quotient Optimization Based on Machine Learning and Feature Selection","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416250783","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229340"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5101533702","display_name":"Asif Raza","orcid":"https://orcid.org/0000-0002-2340-0627"},"institutions":[{"id":"https://openalex.org/I4210161779","display_name":"Campbell Collaboration","ror":"https://ror.org/05stzyr92","country_code":"NO","type":"nonprofit","lineage":["https://openalex.org/I4210161779"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Ayaan Raza","raw_affiliation_strings":["Westmont High School,Campbell,USA"],"affiliations":[{"raw_affiliation_string":"Westmont High School,Campbell,USA","institution_ids":["https://openalex.org/I4210161779"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101533702"],"corresponding_institution_ids":["https://openalex.org/I4210161779"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36169522,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T10106","display_name":"Autism Spectrum Disorder Research","score":0.9495999813079834,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10106","display_name":"Autism Spectrum Disorder Research","score":0.9495999813079834,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.0032999999821186066,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13393","display_name":"Child Nutrition and Feeding Issues","score":0.003000000026077032,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental 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/autism","display_name":"Autism","score":0.8094000220298767},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5730999708175659},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.515500009059906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5152999758720398},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5029000043869019},{"id":"https://openalex.org/keywords/autism-spectrum-disorder","display_name":"Autism spectrum disorder","score":0.4749999940395355},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4738999903202057},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.43470001220703125}],"concepts":[{"id":"https://openalex.org/C205778803","wikidata":"https://www.wikidata.org/wiki/Q38404","display_name":"Autism","level":2,"score":0.8094000220298767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7771000266075134},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7644000053405762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245999932289124},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5730999708175659},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.515500009059906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5152999758720398},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5029000043869019},{"id":"https://openalex.org/C2778538070","wikidata":"https://www.wikidata.org/wiki/Q1436063","display_name":"Autism spectrum disorder","level":3,"score":0.4749999940395355},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4738999903202057},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.43470001220703125},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42250001430511475},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.37400001287460327},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.36079999804496765},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C2780055620","wikidata":"https://www.wikidata.org/wiki/Q4822673","display_name":"Autism Diagnostic Observation Schedule","level":4,"score":0.3328999876976013},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3028999865055084},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.27219998836517334}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2100254283","https://openalex.org/W2151524361","https://openalex.org/W2295598076","https://openalex.org/W2327678559","https://openalex.org/W2940216078","https://openalex.org/W2988828954","https://openalex.org/W4293363567","https://openalex.org/W4380479961","https://openalex.org/W4390577178","https://openalex.org/W4390591048","https://openalex.org/W4400762160"],"related_works":[],"abstract_inverted_index":{"Autism":[0,18],"Spectrum":[1,19],"Disorder,":[2],"known":[3],"as":[4,142,213],"ASD,":[5],"is":[6,23,51,91,176],"a":[7,24,65,214,227],"neurological":[8],"condition":[9],"that":[10,178,231],"affects":[11],"approximately":[12],"75":[13],"million":[14],"individuals":[15],"worldwide.":[16],"The":[17,46,89,109],"Quotient,":[20],"or":[21],"AQ10,":[22],"widely":[25],"used":[26],"diagnostic":[27,60],"tool":[28,215],"consisting":[29],"of":[30,48,73,104,111,150,156,181,194],"10":[31],"questions":[32,195],"designed":[33],"to":[34,52,56,92,198,236],"determine":[35],"if":[36],"an":[37,43],"individual":[38],"needs":[39],"further":[40],"evaluation":[41],"by":[42,137,190],"autism":[44,107,217,240],"specialist.":[45],"goal":[47,90],"this":[49],"study":[50,69],"shorten":[53],"the":[54,59,71,94,98,102,112,148,151,173,179,188,192,234],"AQ10":[55,95,189,229],"help":[57],"streamline":[58,237],"process":[61],"while":[62,219],"still":[63],"maintaining":[64,220],"high":[66,118],"accuracy.":[67,222],"This":[68,207],"enlists":[70],"use":[72,103,180],"four":[74],"machine":[75,105,114,182],"learning":[76,115,183],"models:":[77],"random":[78,124,159],"forest,":[79,125,160],"extreme":[80],"gradient":[81],"boosting":[82],"(XGBoost),":[83],"multilayer":[84],"perceptron":[85],"(MLP),":[86],"and":[87,96,132,146,167,205,238],"attention.":[88,135,170],"refine":[93],"pave":[97],"way":[99],"for":[100,123,127,130,134,158,162,165,169,216],"advancing":[101],"learning-based":[106],"detection.":[108],"results":[110],"above":[113],"models":[116,152,184],"achieved":[117],"accuracy":[119,154],"rates,":[120],"with":[121],"96.15%":[122],"94.99%":[126],"XGBoost,":[128,163],"94.03%":[129],"MLP,":[131,166],"89.02%":[133],"Furthermore,":[136],"excluding":[138],"demographic":[139],"variables":[140],"such":[141],"age,":[143],"sex,":[144],"ethnicity,":[145],"jaundice,":[147],"performance":[149],"yielded":[153],"rates":[155],"77.65%":[157],"76.88%":[161],"74.95%":[164],"73.41%":[168],"Based":[171],"on":[172],"results,":[174],"it":[175],"evident":[177],"can":[185],"effectively":[186],"simplify":[187],"reducing":[191],"number":[193],"from":[196],"ten":[197],"five,":[199],"i.e.,":[200],"A1,":[201],"A4,":[202],"A6,":[203],"A7,":[204],"A9.":[206],"approach":[208],"will":[209],"enhance":[210],"its":[211,221],"efficiency":[212],"screening":[218],"These":[223],"findings":[224],"would":[225,232],"propose":[226],"simplified":[228],"questionnaire":[230],"have":[233],"potential":[235],"improve":[239],"diagnosis":[241],"efficiency.":[242]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-14T00:00:00"}