{"id":"https://openalex.org/W3209362170","doi":"https://doi.org/10.1109/bibm52615.2021.9669525","title":"Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data","display_name":"Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W3209362170","doi":"https://doi.org/10.1109/bibm52615.2021.9669525","mag":"3209362170"},"language":"en","primary_location":{"id":"doi:10.1109/bibm52615.2021.9669525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669525","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2110.12464","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032523609","display_name":"T. Kalliokoski","orcid":"https://orcid.org/0000-0001-5291-5577"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Tuomo Kalliokoski","raw_affiliation_strings":["Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, University of Jyv\u00e4skyl\u00e4, Jyv\u00e4skyl\u00e4, Finland","institution_ids":["https://openalex.org/I94722563"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5032523609"],"corresponding_institution_ids":["https://openalex.org/I94722563"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10037736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"3157","last_page":"3164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998999834060669,"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":0.9998999834060669,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9969000220298767,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/usable","display_name":"USable","score":0.8948635458946228},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7548680305480957},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.7299439311027527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7007684707641602},{"id":"https://openalex.org/keywords/sophistication","display_name":"Sophistication","score":0.625901997089386},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.44404134154319763},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4125872552394867},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39260196685791016},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1514003872871399},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12087130546569824},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07586619257926941},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06893691420555115}],"concepts":[{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.8948635458946228},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7548680305480957},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.7299439311027527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7007684707641602},{"id":"https://openalex.org/C168725872","wikidata":"https://www.wikidata.org/wiki/Q991663","display_name":"Sophistication","level":2,"score":0.625901997089386},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.44404134154319763},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4125872552394867},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39260196685791016},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1514003872871399},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12087130546569824},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07586619257926941},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06893691420555115},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bibm52615.2021.9669525","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm52615.2021.9669525","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},{"id":"pmh:oai:jyx.jyu.fi:123456789/79514","is_oa":false,"landing_page_url":"http://urn.fi/URN:NBN:fi:jyu-202201261285","pdf_url":null,"source":{"id":"https://openalex.org/S4306400563","display_name":"Jyv\u00e4skyl\u00e4 University Digital Archive (University of Jyv\u00e4skyl\u00e4)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94722563","host_organization_name":"University of Jyv\u00e4skyl\u00e4","host_organization_lineage":["https://openalex.org/I94722563"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"A4"},{"id":"pmh:oai:arXiv.org:2110.12464","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.12464","pdf_url":"https://arxiv.org/pdf/2110.12464","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2110.12464","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2110.12464","pdf_url":"https://arxiv.org/pdf/2110.12464","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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":104,"referenced_works":["https://openalex.org/W1523293200","https://openalex.org/W1581514961","https://openalex.org/W2006940889","https://openalex.org/W2015452969","https://openalex.org/W2026236255","https://openalex.org/W2046398551","https://openalex.org/W2065588045","https://openalex.org/W2099471712","https://openalex.org/W2101926813","https://openalex.org/W2103281268","https://openalex.org/W2106671991","https://openalex.org/W2110119381","https://openalex.org/W2111547563","https://openalex.org/W2112796928","https://openalex.org/W2115240329","https://openalex.org/W2118978333","https://openalex.org/W2131044459","https://openalex.org/W2177870565","https://openalex.org/W2395579298","https://openalex.org/W2592929672","https://openalex.org/W2606860045","https://openalex.org/W2617669016","https://openalex.org/W2763355946","https://openalex.org/W2778796877","https://openalex.org/W2782436336","https://openalex.org/W2788633781","https://openalex.org/W2810349670","https://openalex.org/W2811374795","https://openalex.org/W2887280559","https://openalex.org/W2887382745","https://openalex.org/W2895763047","https://openalex.org/W2896966666","https://openalex.org/W2898280479","https://openalex.org/W2900519066","https://openalex.org/W2906295032","https://openalex.org/W2907554860","https://openalex.org/W2909882940","https://openalex.org/W2913081511","https://openalex.org/W2914550345","https://openalex.org/W2924911266","https://openalex.org/W2927351257","https://openalex.org/W2947706148","https://openalex.org/W2954996726","https://openalex.org/W2958150439","https://openalex.org/W2963350032","https://openalex.org/W2963521553","https://openalex.org/W2963703618","https://openalex.org/W2970854840","https://openalex.org/W2977601947","https://openalex.org/W2990519034","https://openalex.org/W2992947267","https://openalex.org/W2995750307","https://openalex.org/W2997422821","https://openalex.org/W3001669684","https://openalex.org/W3003851578","https://openalex.org/W3011967257","https://openalex.org/W3013294478","https://openalex.org/W3014524604","https://openalex.org/W3015984951","https://openalex.org/W3016970897","https://openalex.org/W3019899894","https://openalex.org/W3021817155","https://openalex.org/W3024545783","https://openalex.org/W3039182478","https://openalex.org/W3042276730","https://openalex.org/W3042904241","https://openalex.org/W3044971416","https://openalex.org/W3047273155","https://openalex.org/W3085109610","https://openalex.org/W3089347471","https://openalex.org/W3092635280","https://openalex.org/W3093861859","https://openalex.org/W3103934428","https://openalex.org/W3116063148","https://openalex.org/W3119527628","https://openalex.org/W3119948659","https://openalex.org/W3122236046","https://openalex.org/W3134818558","https://openalex.org/W3136933888","https://openalex.org/W3157259822","https://openalex.org/W3158317643","https://openalex.org/W3158616732","https://openalex.org/W3163878355","https://openalex.org/W3164582999","https://openalex.org/W3171849353","https://openalex.org/W3174411215","https://openalex.org/W3184363631","https://openalex.org/W3199717448","https://openalex.org/W4225341315","https://openalex.org/W4233026002","https://openalex.org/W4238130880","https://openalex.org/W4240737757","https://openalex.org/W4246538279","https://openalex.org/W4320013936","https://openalex.org/W4362219827","https://openalex.org/W4386181224","https://openalex.org/W6677492792","https://openalex.org/W6743446608","https://openalex.org/W6758623387","https://openalex.org/W6763301180","https://openalex.org/W6775753438","https://openalex.org/W6776869306","https://openalex.org/W6787706234","https://openalex.org/W6788530040"],"related_works":["https://openalex.org/W1964492080","https://openalex.org/W3126986886","https://openalex.org/W2223905114","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"],"abstract_inverted_index":{"There":[0],"are":[1,78],"multiple":[2,44],"papers":[3,24,62],"published":[4],"about":[5],"different":[6],"AI":[7,65,83],"models":[8],"for":[9,33,59],"the":[10,19,23,28,60,69,95],"COVID-19":[11,70],"diagnosis":[12,67],"with":[13],"promising":[14],"results.":[15],"Unfortunately":[16],"according":[17],"to":[18,54,85],"reviews":[20],"many":[21],"of":[22,30,68,94],"do":[25],"not":[26],"reach":[27],"level":[29],"sophistication":[31],"needed":[32],"a":[34,64,80],"clinically":[35,81],"usable":[36,82],"model.":[37],"In":[38],"this":[39],"paper":[40],"I":[41],"go":[42],"through":[43],"review":[45],"papers,":[46],"guidelines,":[47],"and":[48,98,100],"other":[49],"relevant":[50],"material":[51],"in":[52],"order":[53],"generate":[55],"more":[56],"comprehensive":[57,91],"requirements":[58],"future":[61],"proposing":[63],"based":[66],"from":[71],"chest":[72],"X-ray":[73],"data":[74],"(CXR).":[75],"Main":[76],"findings":[77],"that":[79],"needs":[84],"have":[86],"an":[87,101],"extremely":[88],"good":[89],"documentation,":[90],"statistical":[92],"analysis":[93],"possible":[96],"biases":[97],"performance,":[99],"explainability":[102],"module.":[103]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-11-08T00:00:00"}
