乐胖代购免代理版

{"id":"https://openalex.org/W4388684125","doi":"https://doi.org/10.48550/arxiv.2311.06258","title":"Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19","display_name":"Post-COVID Highlights: Challenges and Solutions of AI Techniques for Swift Identification of COVID-19","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388684125","doi":"https://doi.org/10.48550/arxiv.2311.06258"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2311.06258","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2311.06258","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085166013","display_name":"Yingying Fang","orcid":"https://orcid.org/0000-0001-6334-8635"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Yingying","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043070120","display_name":"Xiaodan Xing","orcid":"https://orcid.org/0000-0002-2468-9266"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing, Xiaodan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101524709","display_name":"Shi\u2010Yi Wang","orcid":"https://orcid.org/0000-0002-3294-5784"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shiyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5112547034","display_name":"Simon Walsh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Walsh, Simon","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":67},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9957,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9519,"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/pandemic","display_name":"Pandemic","score":0.80774736},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.67045784},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.59434247},{"id":"https://openalex.org/keywords/healthcare-system","display_name":"Healthcare system","score":0.54505044},{"id":"https://openalex.org/keywords/swift","display_name":"Swift","score":0.5218933}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.86361676},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.80774736},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.67045784},{"id":"https://openalex.org/C3007834351","wikidata":"https://www.wikidata.org/wiki/Q82069695","display_name":"Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)","level":5,"score":0.65377456},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.59434247},{"id":"https://openalex.org/C2988170871","wikidata":"https://www.wikidata.org/wiki/Q11000047","display_name":"Healthcare system","level":3,"score":0.54505044},{"id":"https://openalex.org/C116188536","wikidata":"https://www.wikidata.org/wiki/Q17118377","display_name":"Swift","level":2,"score":0.5218933},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.43975016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43496},{"id":"https://openalex.org/C2780665704","wikidata":"https://www.wikidata.org/wiki/Q959298","display_name":"Intervention (counseling)","level":2,"score":0.42313582},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.41350353},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3920029},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.33104098},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.31103906},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.29427242},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.1770491},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.11466244},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0972251},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.08022973},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2311.06258","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2311.06258","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2311.06258","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"score":0.72,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4311581287","https://openalex.org/W4226296940","https://openalex.org/W4205215807","https://openalex.org/W4200329650","https://openalex.org/W3171943759","https://openalex.org/W3127156785","https://openalex.org/W3049446289","https://openalex.org/W3028835529","https://openalex.org/W3009669391","https://openalex.org/W3005417802"],"abstract_inverted_index":{"Since":[0],"the":[1,4,29,35,39,71,82,95,101,107,116,120],"onset":[2],"of":[3,38,70,122],"COVID-19":[5],"pandemic":[6],"in":[7,46,74],"2019,":[8],"there":[9],"has":[10],"been":[11],"a":[12,57,68,79],"concerted":[13],"effort":[14],"to":[15,27,48,91,99,114,126],"develop":[16],"cost-effective,":[17],"non-invasive,":[18],"and":[19,41,66],"rapid":[20,36],"AI-based":[21],"tools.":[22],"These":[23],"tools":[24,124],"were":[25],"intended":[26],"alleviate":[28],"burden":[30],"on":[31,81],"healthcare":[32],"systems,":[33],"control":[34],"spread":[37],"virus,":[40],"enhance":[42],"intervention":[43],"outcomes,":[44],"all":[45],"response":[47],"this":[49],"unprecedented":[50],"global":[51],"crisis.":[52],"As":[53],"we":[54,60,112],"transition":[55],"into":[56,94],"post-COVID":[58],"era,":[59],"retrospectively":[61],"evaluate":[62],"these":[63],"proposed":[64,84],"studies":[65],"offer":[67],"review":[69,89],"techniques":[72],"employed":[73],"AI":[75,117,123],"diagnostic":[76],"models,":[77],"with":[78],"focus":[80],"solutions":[83,97],"for":[85,119],"different":[86],"challenges.":[87],"This":[88],"endeavors":[90],"provide":[92],"insights":[93],"diverse":[96],"designed":[98],"address":[100,127],"multifaceted":[102],"challenges":[103],"that":[104],"arose":[105],"during":[106],"pandemic.":[108],"By":[109],"doing":[110],"so,":[111],"aim":[113],"prepare":[115],"community":[118],"development":[121],"tailored":[125],"public":[128],"health":[129],"emergencies":[130],"effectively.":[131]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4388684125","counts_by_year":[],"updated_date":"2025-01-04T01:49:37.376715","created_date":"2023-11-15"}