{"id":"https://openalex.org/W4402347022","doi":"https://doi.org/10.1145/3673971.3674006","title":"Assessing the Mental Health Impact of COVID-19 on the US Population: A Large-Scale Survey Analysis Using SMOTE","display_name":"Assessing the Mental Health Impact of COVID-19 on the US Population: A Large-Scale Survey Analysis Using SMOTE","publication_year":2024,"publication_date":"2024-05-17","ids":{"openalex":"https://openalex.org/W4402347022","doi":"https://doi.org/10.1145/3673971.3674006"},"language":"en","primary_location":{"id":"doi:10.1145/3673971.3674006","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3673971.3674006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Medical and Health Informatics","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/A5107078039","display_name":"Chinmayee Rayguru","orcid":"https://orcid.org/0009-0001-0032-9098"},"institutions":[{"id":"https://openalex.org/I47519274","display_name":"Taipei Medical University","ror":"https://ror.org/05031qk94","country_code":"TW","type":"education","lineage":["https://openalex.org/I47519274"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chinmayee Rayguru","raw_affiliation_strings":["Graduate Institute Of Biomedical Informatics, Taipei Medical University, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute Of Biomedical Informatics, Taipei Medical University, Taiwan","institution_ids":["https://openalex.org/I47519274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081102186","display_name":"Emily Chia\u2010Yu Su","orcid":"https://orcid.org/0000-0003-4801-5159"},"institutions":[{"id":"https://openalex.org/I2802331550","display_name":"Taipei Medical University Hospital","ror":"https://ror.org/03k0md330","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I2802331550"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Emily Chia-Yu Su","raw_affiliation_strings":["Graduate Institute Of Biomedical Informatics, Taipei Medical University, Taiwan and \rClinical Big Data Research Center, Taipei Medical University Hospital, Taiwan"],"affiliations":[{"raw_affiliation_string":"Graduate Institute Of Biomedical Informatics, Taipei Medical University, Taiwan and \rClinical Big Data Research Center, Taipei Medical University Hospital, Taiwan","institution_ids":["https://openalex.org/I2802331550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5107078039"],"corresponding_institution_ids":["https://openalex.org/I47519274"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20830633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"298","last_page":"303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10168","display_name":"COVID-19 and Mental Health","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10168","display_name":"COVID-19 and Mental Health","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical 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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10235","display_name":"Health disparities and outcomes","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.6619337201118469},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.6410239338874817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5600157976150513},{"id":"https://openalex.org/keywords/mental-health","display_name":"Mental health","score":0.5035988688468933},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46848878264427185},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.4179724454879761},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2219579815864563},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1614229381084442},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.16021278500556946},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.15288648009300232},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.15181952714920044},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.10137853026390076}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.6619337201118469},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.6410239338874817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5600157976150513},{"id":"https://openalex.org/C134362201","wikidata":"https://www.wikidata.org/wiki/Q317309","display_name":"Mental health","level":2,"score":0.5035988688468933},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46848878264427185},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.4179724454879761},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2219579815864563},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1614229381084442},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.16021278500556946},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.15288648009300232},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.15181952714920044},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.10137853026390076},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3673971.3674006","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3673971.3674006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 8th International Conference on Medical and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8504085542","display_name":null,"funder_award_id":"MOST 111-2628-E-038 -001 -MY2","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2148143831","https://openalex.org/W3083719831","https://openalex.org/W3153293723","https://openalex.org/W3157116490","https://openalex.org/W3215747049","https://openalex.org/W4200414040","https://openalex.org/W4319455192","https://openalex.org/W4384277493","https://openalex.org/W4387473379","https://openalex.org/W6803292093"],"related_works":["https://openalex.org/W3036314732","https://openalex.org/W3009669391","https://openalex.org/W3154141118","https://openalex.org/W4394620624","https://openalex.org/W4296163649","https://openalex.org/W4388896133","https://openalex.org/W3031607536","https://openalex.org/W3135208316","https://openalex.org/W4400613637","https://openalex.org/W3107152225"],"abstract_inverted_index":{"The":[0,20,115],"coronavirus":[1],"(COVID-19)":[2],"outbreak,":[3],"recognized":[4],"as":[5,175,177],"one":[6],"of":[7,33,50,63,117,200],"the":[8,30,45,51,55,90,101,153,166,188,198],"deadliest":[9],"health":[10,48,78,190],"crises":[11],"in":[12,158],"recent":[13],"history,":[14],"swiftly":[15],"affected":[16,27],"over":[17],"200":[18],"countries.":[19],"pandemic":[21,53,195],"has":[22],"posed":[23],"complex":[24],"challenges,":[25],"specifically":[26],"not":[28],"only":[29],"rising":[31],"number":[32],"cases":[34],"but":[35],"also":[36],"deeply":[37],"influenced":[38],"individual":[39],"mental":[40,47,77,189],"health.":[41],"This":[42,182],"research":[43,183],"explores":[44],"significant":[46],"implications":[49],"COVID-19":[52,194],"on":[54,89],"US":[56],"population,":[57],"analyzed":[58],"through":[59],"a":[60],"large-scale":[61],"survey":[62],"25,136":[64],"participants":[65],"across":[66],"various":[67],"ages,":[68],"economic":[69],"backgrounds,":[70],"and":[71,86,143,161,171],"chronic":[72,172],"disease":[73],"status.":[74],"We":[75],"categorized":[76],"status":[79],"into":[80],"three":[81],"risk":[82],"levels:":[83],"low,":[84],"moderate,":[85],"high,":[87],"based":[88],"key":[91],"features":[92],"influencing":[93],"stress":[94,180],"levels.":[95,181],"Notably,":[96],"our":[97],"findings":[98],"reveal":[99],"that":[100],"age":[102,113],"group":[103],"25-54":[104],"years":[105],"exhibited":[106],"higher":[107],"anxiety":[108],"levels":[109],"compared":[110],"to":[111,187],"other":[112],"groups.":[114,205],"implementation":[116],"Extreme":[118],"Gradient":[119],"Boosting":[120],"(XGBoost)":[121],"with":[122],"Synthetic":[123],"Minority":[124],"Over-sampling":[125],"(SMOTE)":[126],"Technique":[127],"for":[128,136,140,145,203],"balancing":[129],"data":[130],"yielded":[131],"impressive":[132],"accuracy":[133],"rates:":[134],"94.55%":[135],"high":[137,169],"risk,":[138,142,147],"90.73%":[139],"moderate":[141],"77.77%":[144],"low":[146],"respectively.":[148],"These":[149],"results":[150],"significantly":[151],"outperformed":[152],"Random":[154],"Forest":[155],"(RF)":[156],"model":[157],"both":[159],"imbalanced":[160],"SMOTE":[162],"balanced":[163],"datasets.":[164],"Furthermore,":[165],"study":[167],"identified":[168],"obesity":[170],"diseases,":[173],"such":[174],"bronchitis,":[176],"factors":[178],"exacerbating":[179],"contributes":[184],"valuable":[185],"insights":[186],"condition":[191],"prediction":[192],"during":[193],"by":[196],"underlining":[197],"importance":[199],"targeted":[201],"interventions":[202],"high-risk":[204]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
