{"id":"https://openalex.org/W4200034235","doi":"https://doi.org/10.1109/iscc53001.2021.9631477","title":"Machine Learning Techniques for Extracting Relevant Features from Clinical Data for COVID-19 Mortality Prediction","display_name":"Machine Learning Techniques for Extracting Relevant Features from Clinical Data for COVID-19 Mortality Prediction","publication_year":2021,"publication_date":"2021-09-05","ids":{"openalex":"https://openalex.org/W4200034235","doi":"https://doi.org/10.1109/iscc53001.2021.9631477"},"language":"en","primary_location":{"id":"doi:10.1109/iscc53001.2021.9631477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631477","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","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 Symposium on Computers and Communications (ISCC)","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/A5014247231","display_name":"Michele Fraccaroli","orcid":"https://orcid.org/0000-0001-7656-7204"},"institutions":[{"id":"https://openalex.org/I201324441","display_name":"University of Ferrara","ror":"https://ror.org/041zkgm14","country_code":"IT","type":"education","lineage":["https://openalex.org/I201324441"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Michele Fraccaroli","raw_affiliation_strings":["University of Ferrara, Ferrara, Italy"],"affiliations":[{"raw_affiliation_string":"University of Ferrara, Ferrara, Italy","institution_ids":["https://openalex.org/I201324441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033144089","display_name":"Giulia Mazzuchelli","orcid":null},"institutions":[{"id":"https://openalex.org/I201324441","display_name":"University of Ferrara","ror":"https://ror.org/041zkgm14","country_code":"IT","type":"education","lineage":["https://openalex.org/I201324441"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giulia Mazzuchelli","raw_affiliation_strings":["University of Ferrara, Ferrara, Italy"],"affiliations":[{"raw_affiliation_string":"University of Ferrara, Ferrara, Italy","institution_ids":["https://openalex.org/I201324441"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049225058","display_name":"Alice Bizzarri","orcid":"https://orcid.org/0000-0001-9259-7761"},"institutions":[{"id":"https://openalex.org/I201324441","display_name":"University of Ferrara","ror":"https://ror.org/041zkgm14","country_code":"IT","type":"education","lineage":["https://openalex.org/I201324441"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alice Bizzarri","raw_affiliation_strings":["University of Ferrara, Ferrara, Italy"],"affiliations":[{"raw_affiliation_string":"University of Ferrara, Ferrara, Italy","institution_ids":["https://openalex.org/I201324441"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014247231"],"corresponding_institution_ids":["https://openalex.org/I201324441"],"apc_list":null,"apc_paid":null,"fwci":0.1257,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36941484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"69","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9957000017166138,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9957000017166138,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9914000034332275,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9803000092506409,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.7143986821174622},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7099359631538391},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6798086166381836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6710323691368103},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6672787666320801},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.43308401107788086},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4281888008117676},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2105761468410492},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.08236795663833618}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7143986821174622},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7099359631538391},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6798086166381836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6710323691368103},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6672787666320801},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.43308401107788086},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4281888008117676},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2105761468410492},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.08236795663833618},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iscc53001.2021.9631477","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc53001.2021.9631477","pdf_url":null,"source":{"id":"https://openalex.org/S4363605778","display_name":"2021 IEEE Symposium on Computers and Communications (ISCC)","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 Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unife.it:11392/2471488","is_oa":false,"landing_page_url":"https://hdl.handle.net/11392/2471488","pdf_url":null,"source":{"id":"https://openalex.org/S4306400369","display_name":"Institutional Research Information System University of Ferrara (University of Ferrara)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201324441","host_organization_name":"University of Ferrara","host_organization_lineage":["https://openalex.org/I201324441"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:sfera.unife.it:11392/2471488","is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/document/9631477","pdf_url":null,"source":{"id":"https://openalex.org/S4306400369","display_name":"Institutional Research Information System University of Ferrara (University of Ferrara)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I201324441","host_organization_name":"University of Ferrara","host_organization_lineage":["https://openalex.org/I201324441"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W571200655","https://openalex.org/W1678356000","https://openalex.org/W1930624869","https://openalex.org/W2037036168","https://openalex.org/W2125055259","https://openalex.org/W2148143831","https://openalex.org/W2195388612","https://openalex.org/W2282821441","https://openalex.org/W2295598076","https://openalex.org/W2523246573","https://openalex.org/W2750178884","https://openalex.org/W2781702232","https://openalex.org/W2911964244","https://openalex.org/W2962862931","https://openalex.org/W3025394897","https://openalex.org/W3046481704","https://openalex.org/W3070886816","https://openalex.org/W3097787292","https://openalex.org/W4399647672","https://openalex.org/W6637404493","https://openalex.org/W6722226382","https://openalex.org/W6737947904","https://openalex.org/W6869608176"],"related_works":["https://openalex.org/W4382894326","https://openalex.org/W3035105474","https://openalex.org/W4205698903","https://openalex.org/W4294968941","https://openalex.org/W4205413867","https://openalex.org/W3179695362","https://openalex.org/W3175450294","https://openalex.org/W3043432080","https://openalex.org/W4317600379","https://openalex.org/W4282583532"],"abstract_inverted_index":{"The":[0],"role":[1],"of":[2,13,21,52,81,100],"Machine":[3],"Learning":[4],"(ML)":[5],"in":[6],"healthcare":[7],"is":[8,41,59],"based":[9],"on":[10,108,131],"the":[11,18,49,68,138,142],"ability":[12],"a":[14,147],"machine":[15],"to":[16,43,61,78,92,115,124,136,145],"analyse":[17],"huge":[19],"amounts":[20],"data":[22,47,80],"available":[23],"for":[24,48,97,111],"each":[25],"patient,":[26],"like":[27],"age,":[28],"medical":[29,132],"history,":[30],"overall":[31],"health":[32],"status,":[33],"test":[34],"results,":[35],"etc.":[36],"With":[37],"ML":[38,76],"algorithms":[39],"it":[40],"possible":[42,66],"learn":[44,93],"models":[45,96],"from":[46,118],"early":[50],"identification":[51,58],"pathologies":[53],"and":[54,85,102,134],"their":[55],"severity.":[56],"Early":[57],"crucial":[60],"proceed":[62],"as":[63,65],"soon":[64],"with":[67,89],"necessary":[69],"therapeutic":[70],"actions.":[71],"This":[72,121],"work":[73],"applies":[74],"modern":[75],"techniques":[77],"clinical":[79,119],"either":[82],"COVID-19":[83,86],"positive":[84],"negative":[87],"patients":[88],"pulmonary":[90],"complications,":[91],"mortality":[94],"prediction":[95],"both":[98],"groups":[99],"patients,":[101],"compare":[103],"results.":[104],"We":[105],"have":[106],"focused":[107],"symbolic":[109],"methods":[110],"building":[112],"classifiers":[113],"able":[114,135],"extract":[116],"patterns":[117],"data.":[120],"approach":[122],"leads":[123],"predictive":[125],"Artificial":[126],"Intelligence":[127],"(AI)":[128],"systems":[129,143],"working":[130],"data,":[133],"explain":[137],"reasons":[139],"that":[140],"lead":[141],"themselves":[144],"reach":[146],"certain":[148],"conclusion.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}