{"id":"https://openalex.org/W4212812840","doi":"https://doi.org/10.1155/2022/9580896","title":"Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques","display_name":"Significance of Visible Non-Invasive Risk Attributes for the Initial Prediction of Heart Disease Using Different Machine Learning Techniques","publication_year":2022,"publication_date":"2022-02-21","ids":{"openalex":"https://openalex.org/W4212812840","doi":"https://doi.org/10.1155/2022/9580896","pmid":"https://pubmed.ncbi.nlm.nih.gov/35237314","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/8885242"},"language":"en","primary_location":{"id":"doi:10.1155/2022/9580896","doi":"https://doi.org/10.1155/2022/9580896","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9580896","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/9580896.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2022/9580896.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058539622","display_name":"Syed Immamul Ansarullah","orcid":"https://orcid.org/0000-0002-0894-7595","observed_orcids":["https://orcid.org/0000-0002-0894-7595"]},"institutions":[{"id":"https://openalex.org/I4405252910","display_name":"Cluster University of Jammu","ror":"https://ror.org/003jt2y14","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405252910"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Syed Immamul Ansarullah","raw_affiliation_strings":["Lecturer at the Department of Computer Science, Cluster University, Jammu, India"],"raw_orcid":"https://orcid.org/0000-0002-0894-7595","affiliations":[{"raw_affiliation_string":"Lecturer at the Department of Computer Science, Cluster University, Jammu, India","institution_ids":["https://openalex.org/I4405252910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079775915","display_name":"Syed Mohsin Saif","orcid":"https://orcid.org/0000-0001-7237-8828","observed_orcids":["https://orcid.org/0000-0001-7237-8828"]},"institutions":[{"id":"https://openalex.org/I4264650","display_name":"Islamic University of Science and Technology","ror":"https://ror.org/02kdtt649","country_code":"IN","type":"education","lineage":["https://openalex.org/I4264650"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Syed Mohsin Saif","raw_affiliation_strings":["Assistant Professor at the Department of Information Technology, IUST Awantipora, Kashmir, India"],"raw_orcid":"https://orcid.org/0000-0001-7237-8828","affiliations":[{"raw_affiliation_string":"Assistant Professor at the Department of Information Technology, IUST Awantipora, Kashmir, India","institution_ids":["https://openalex.org/I4264650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043278419","display_name":"Pradeep Kumar","orcid":"https://orcid.org/0000-0002-4132-1332","observed_orcids":["https://orcid.org/0000-0002-4132-1332"]},"institutions":[{"id":"https://openalex.org/I3133391162","display_name":"Maulana Azad National Urdu University","ror":"https://ror.org/020an1644","country_code":"IN","type":"education","lineage":["https://openalex.org/I3133391162"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pradeep Kumar","raw_affiliation_strings":["Associate Professor at the Department of Computer Science and Information Technology, MANUU, Hyderabad, India"],"raw_orcid":"https://orcid.org/0000-0002-4132-1332","affiliations":[{"raw_affiliation_string":"Associate Professor at the Department of Computer Science and Information Technology, MANUU, Hyderabad, India","institution_ids":["https://openalex.org/I3133391162"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063254489","display_name":"Mudasir Manzoor Kirmani","orcid":"https://orcid.org/0000-0001-9408-8397","observed_orcids":["https://orcid.org/0000-0001-9408-8397"]},"institutions":[{"id":"https://openalex.org/I1306687154","display_name":"Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir","ror":"https://ror.org/00jgwn197","country_code":"IN","type":"education","lineage":["https://openalex.org/I1306687154"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mudasir Manzoor Kirmani","raw_affiliation_strings":["Assistant Professor at the Department of Fisheries, SKAUST, Kashmir, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant Professor at the Department of Fisheries, SKAUST, Kashmir, India","institution_ids":["https://openalex.org/I1306687154"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058539622"],"corresponding_institution_ids":["https://openalex.org/I4405252910"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":5.1352,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95996629,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"2022","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":1.0,"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":1.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/heart-disease-prediction","display_name":"heart disease prediction","score":0.9779999852180481},{"id":"https://openalex.org/keywords/risk-assessment-model","display_name":"risk assessment model","score":0.574999988079071},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.8769999742507935},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.8669999837875366},{"id":"https://openalex.org/keywords/naive-bayes","display_name":"naive Bayes","score":0.6600000262260437},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.9649999737739563},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9990000128746033},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.8299999833106995},{"id":"https://openalex.org/keywords/systolic-blood-pressure","display_name":"systolic blood pressure","score":0.781000018119812},{"id":"https://openalex.org/keywords/diastolic-blood-pressure","display_name":"diastolic blood pressure","score":0.9760000109672546},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"body mass index","score":0.9850000143051147},{"id":"https://openalex.org/keywords/smoking","display_name":"smoking","score":0.8149999976158142},{"id":"https://openalex.org/keywords/alcohol-consumption","display_name":"alcohol consumption","score":0.8240000009536743},{"id":"https://openalex.org/keywords/physical-inactivity","display_name":"physical inactivity","score":0.9929999709129333},{"id":"https://openalex.org/keywords/genetic-risk","display_name":"genetic risk","score":0.6520000100135803}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.729884684085846},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6916730999946594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5553624629974365},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5347180962562561},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5220346450805664},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.5063539743423462},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4908955693244934},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.48968008160591125},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.484493225812912},{"id":"https://openalex.org/C11783203","wikidata":"https://www.wikidata.org/wiki/Q5478027","display_name":"Framingham Risk Score","level":3,"score":0.48144859075546265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4554672837257385},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4395182728767395},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.42520591616630554},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33368512988090515},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3124126195907593},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.22059059143066406},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09525617957115173},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006331","descriptor_name":"Heart Diseases","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2022/9580896","doi":"https://doi.org/10.1155/2022/9580896","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9580896","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/9580896.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8885242","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8885242","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"},{"id":"pmid:35237314","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35237314","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational intelligence and neuroscience","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:a04ecfc36ccb4b508d2ba6a7d7bae6c9","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/a04ecfc36ccb4b508d2ba6a7d7bae6c9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Intelligence and Neuroscience, Vol 2022 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2022/9580896","doi":"https://doi.org/10.1155/2022/9580896","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2022/9580896","pdf_url":"https://downloads.hindawi.com/journals/cin/2022/9580896.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","poland-20","vabb-shw"],"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4212812840.pdf","grobid_xml":"https://content.openalex.org/works/W4212812840.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W309845829","https://openalex.org/W2103069675","https://openalex.org/W2250033699","https://openalex.org/W2505975774","https://openalex.org/W2752038267","https://openalex.org/W2752051970","https://openalex.org/W2766297643","https://openalex.org/W2768555410","https://openalex.org/W2791340070","https://openalex.org/W2900794383","https://openalex.org/W2903099708","https://openalex.org/W2906396551","https://openalex.org/W2921012991","https://openalex.org/W2950769483","https://openalex.org/W2953505302","https://openalex.org/W2963565281","https://openalex.org/W2984766121","https://openalex.org/W2989626047","https://openalex.org/W2999376617","https://openalex.org/W3003299879","https://openalex.org/W3007212997","https://openalex.org/W3013170635","https://openalex.org/W3015247626","https://openalex.org/W3039234028","https://openalex.org/W3039358234","https://openalex.org/W3039479751","https://openalex.org/W3040351441","https://openalex.org/W3088428904","https://openalex.org/W3094608477","https://openalex.org/W3119296006","https://openalex.org/W3179042059","https://openalex.org/W3204739509","https://openalex.org/W4210347219"],"related_works":["https://openalex.org/W7217431054","https://openalex.org/W2892354970","https://openalex.org/W4393028681","https://openalex.org/W4415756118","https://openalex.org/W7221928933","https://openalex.org/W3196066488","https://openalex.org/W4367692322","https://openalex.org/W4382119475","https://openalex.org/W7149288660","https://openalex.org/W4395040200"],"abstract_inverted_index":{"Introduction.":[0],"Heart":[1],"disease":[2,28,38,82,121,155,183,203,214,259],"is":[3,15,42,84,125,136,207,223,243],"emerging":[4],"as":[5],"the":[6,18,25,71,114,128,147,179,248,270,283],"single":[7],"most":[8],"critical":[9],"cause":[10],"of":[11,17,73,94,162,218,230,250,272,286],"death":[12],"worldwide":[13],"and":[14,35,65,77,109,133,172,196,268,279],"one":[16],"costliest":[19],"chronic":[20],"conditions.":[21],"Purpose.":[22],"Stimulated":[23],"by":[24,70],"increasing":[26],"heart":[27,37,81,120,154,182,202,213,258,287],"mortality":[29],"rate":[30],"incidents,":[31],"an":[32],"effective,":[33],"low-cost,":[34],"reliable":[36],"risk":[39,47,52,115,122,156,184,190,204,241,260,284],"evaluation":[40,157,185,205],"model":[41,124,148,186,206,242],"developed":[43,126,208],"using":[44,127],"significant":[45,50],"non-invasive":[46,51,212],"attributes.":[48],"The":[49,92,119,201,240],"attributes":[53,275],"like":[54,99,164],"(age,":[55],"systolic":[56],"BP,":[57,59],"diastolic":[58],"BMI,":[60],"hereditary":[61],"factor,":[62],"smoking,":[63],"alcohol,":[64],"physical":[66],"inactivity)":[67],"are":[68,117],"identified":[69],"help":[72],"medical":[74,141,253],"domain":[75,142],"experts,":[76],"their":[78],"reliability":[79],"in":[80,282],"prediction":[83],"investigated":[85,97],"through":[86,140,146,233],"different":[87,226,277],"feature":[88],"selection":[89],"techniques.":[90],"Methodology.":[91],"enhancements":[93],"applying":[95],"specific":[96],"techniques":[98],"random":[100,180],"forest,":[101],"Na\u00efve":[102],"Bayes,":[103],"decision":[104],"tree,":[105],"support":[106],"vector":[107],"machine,":[108],"K":[110],"nearest":[111],"neighbor":[112],"to":[113],"factors":[116],"tested.":[118],"assessment":[123],"Jupyter":[129],"Notebook":[130],"web":[131],"application,":[132],"its":[134],"performance":[135,149],"tested":[137],"not":[138],"only":[139],"measures":[143,161],"but":[144],"also":[145],"measures.":[150],"Findings.":[151],"To":[152,264],"evaluate":[153],"model,":[158],"we":[159],"calculated":[160],"discrimination":[163],"error":[165],"rate,":[166],"AUROC,":[167],"sensitivity,":[168],"specificity,":[169],"accuracy,":[170],"precision,":[171],"so":[173],"on.":[174],"Experimental":[175],"results":[176],"show":[177],"that":[178],"forest":[181],"outperforms":[187],"other":[188,273],"existing":[189],"models":[191],"with":[192],"admirable":[193],"predictive":[194],"accuracy":[195],"minimum":[197],"misclassification":[198],"rate.":[199],"Originality.":[200],"based":[209],"on":[210,276],"novel":[211],"dataset,":[215],"which":[216],"consists":[217],"5776":[219],"records.":[220],"This":[221],"dataset":[222],"collected":[224],"from":[225],"heterogeneous":[227],"data":[228,235],"sources":[229],"Kashmir":[231],"(India)":[232],"quantitative":[234],"collection":[236],"methods.":[237],"Research":[238],"Implications.":[239],"applicable":[244],"where":[245],"people":[246],"lack":[247],"facilities":[249],"integrated":[251],"primary":[252],"care":[254],"technologies":[255],"for":[256],"untimely":[257],"prediction.":[261],"Future":[262],"Work.":[263],"investigate":[265],"deep":[266],"learning":[267],"study":[269],"significance":[271],"controlled":[274],"age":[278],"sex":[280],"groups":[281],"estimation":[285],"disease.":[288]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-02-24T00:00:00"}