{"id":"https://openalex.org/W3099550574","doi":"https://doi.org/10.1145/3388440.3412463","title":"Predicting Criticality in COVID-19 Patients","display_name":"Predicting Criticality in COVID-19 Patients","publication_year":2020,"publication_date":"2020-09-21","ids":{"openalex":"https://openalex.org/W3099550574","doi":"https://doi.org/10.1145/3388440.3412463","mag":"3099550574"},"language":"en","primary_location":{"id":"doi:10.1145/3388440.3412463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388440.3412463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology 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/A5039734959","display_name":"Roger A. Hallman","orcid":"https://orcid.org/0000-0002-0971-2077"},"institutions":[{"id":"https://openalex.org/I1339224429","display_name":"Naval Information Warfare Center Pacific","ror":"https://ror.org/01gs1cg95","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330347796","https://openalex.org/I1339224429","https://openalex.org/I2802223155","https://openalex.org/I3130687028"]},{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]},{"id":"https://openalex.org/I1330347796","display_name":"United States Department of Defense","ror":"https://ror.org/0447fe631","country_code":"US","type":"funder","lineage":["https://openalex.org/I1330347796"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Roger A. Hallman","raw_affiliation_strings":["Thayer School of Engineering, Dartmouth College Hanover, New Hampshire, USA & Naval Information Warfare Center Pacific San Diego, California, USA and United States Department of Defense SMART Scholarship for Service Program"],"affiliations":[{"raw_affiliation_string":"Thayer School of Engineering, Dartmouth College Hanover, New Hampshire, USA & Naval Information Warfare Center Pacific San Diego, California, USA and United States Department of Defense SMART Scholarship for Service Program","institution_ids":["https://openalex.org/I1339224429","https://openalex.org/I107672454","https://openalex.org/I1330347796"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026305354","display_name":"Anjali Chikkula","orcid":null},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anjali Chikkula","raw_affiliation_strings":["Evercore Inc. Houston, Texas, USA and Dartmouth College, Hanover, New Hampshire, USA"],"affiliations":[{"raw_affiliation_string":"Evercore Inc. Houston, Texas, USA and Dartmouth College, Hanover, New Hampshire, USA","institution_ids":["https://openalex.org/I107672454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009504441","display_name":"Temiloluwa Prioleau","orcid":"https://orcid.org/0000-0001-6750-202X"},"institutions":[{"id":"https://openalex.org/I107672454","display_name":"Dartmouth College","ror":"https://ror.org/049s0rh22","country_code":"US","type":"education","lineage":["https://openalex.org/I107672454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Temiloluwa Prioleau","raw_affiliation_strings":["Dartmouth College Hanover, New Hampshire, USA"],"affiliations":[{"raw_affiliation_string":"Dartmouth College Hanover, New Hampshire, USA","institution_ids":["https://openalex.org/I107672454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039734959"],"corresponding_institution_ids":["https://openalex.org/I107672454","https://openalex.org/I1330347796","https://openalex.org/I1339224429"],"apc_list":null,"apc_paid":null,"fwci":0.6608,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73718644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"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":0.9998000264167786,"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/T10041","display_name":"COVID-19 Clinical Research Studies","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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":0.7225197553634644},{"id":"https://openalex.org/keywords/intensive-care","display_name":"Intensive care","score":0.6293092966079712},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.6147629022598267},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.4737057387828827},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.4542030990123749},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4523599147796631},{"id":"https://openalex.org/keywords/2019-20-coronavirus-outbreak","display_name":"2019-20 coronavirus outbreak","score":0.43938133120536804},{"id":"https://openalex.org/keywords/criticality","display_name":"Criticality","score":0.4340810179710388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33036530017852783},{"id":"https://openalex.org/keywords/virology","display_name":"Virology","score":0.09502223134040833},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.09346354007720947},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07550165057182312}],"concepts":[{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.7225197553634644},{"id":"https://openalex.org/C2987404301","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care","level":2,"score":0.6293092966079712},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.6147629022598267},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.4737057387828827},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.4542030990123749},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4523599147796631},{"id":"https://openalex.org/C3006700255","wikidata":"https://www.wikidata.org/wiki/Q81068910","display_name":"2019-20 coronavirus outbreak","level":3,"score":0.43938133120536804},{"id":"https://openalex.org/C125611927","wikidata":"https://www.wikidata.org/wiki/Q17008131","display_name":"Criticality","level":2,"score":0.4340810179710388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33036530017852783},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.09502223134040833},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.09346354007720947},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07550165057182312},{"id":"https://openalex.org/C116675565","wikidata":"https://www.wikidata.org/wiki/Q3241045","display_name":"Outbreak","level":2,"score":0.0},{"id":"https://openalex.org/C185544564","wikidata":"https://www.wikidata.org/wiki/Q81197","display_name":"Nuclear physics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3388440.3412463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3388440.3412463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1994682257","https://openalex.org/W2156368174","https://openalex.org/W2295598076","https://openalex.org/W3001195213","https://openalex.org/W3010667412","https://openalex.org/W3015713899","https://openalex.org/W3016139533","https://openalex.org/W3022063289","https://openalex.org/W3040366309","https://openalex.org/W3102476541","https://openalex.org/W3124449783","https://openalex.org/W4206394060","https://openalex.org/W4285521507","https://openalex.org/W7033251610"],"related_works":["https://openalex.org/W2376759283","https://openalex.org/W3008607579","https://openalex.org/W126231364","https://openalex.org/W2279399181","https://openalex.org/W2333336726","https://openalex.org/W2963698000","https://openalex.org/W1668846860","https://openalex.org/W4309026116","https://openalex.org/W3013370972","https://openalex.org/W3082321064"],"abstract_inverted_index":{"The":[0],"COVID-19":[1,102,116,129],"pandemic":[2],"has":[3],"infected":[4],"millions":[5],"of":[6,17,62,151],"people":[7],"around":[8],"the":[9,59,149,156],"world,":[10],"spreading":[11],"rapidly":[12],"and":[13,34,98,138],"causing":[14],"a":[15,67,72,106,122,125],"flood":[16],"patients":[18,56],"that":[19,76,109],"risk":[20],"overwhelming":[21],"clinical":[22,51,80,89,112],"facilities.":[23],"Whether":[24],"in":[25,40,53,58,79,114],"urban":[26],"or":[27],"rural":[28],"areas,":[29],"hospitals":[30],"have":[31],"limited":[32],"resources":[33],"personnel":[35,113],"to":[36,86],"treat":[37],"critical":[38,63],"infections":[39],"intensive":[41,99],"care":[42,100],"units,":[43],"which":[44,55,88,159],"must":[45],"be":[46],"allocated":[47],"effectively.":[48],"To":[49,148],"assist":[50,111],"staff":[52],"deciding":[54],"are":[57],"greatest":[60],"need":[61],"care,":[64,97],"we":[65,120],"develop":[66],"predictive":[68,107],"model":[69,108,158],"based":[70],"on":[71],"publicly-available":[73],"data":[74,135],"set":[75],"is":[77,155],"rich":[78],"markers.":[81],"We":[82,104],"perform":[83],"statistical":[84,134],"analysis":[85],"determine":[87],"markers":[90],"strongly":[91],"correlate":[92],"with":[93],"hospital":[94],"admission,":[95],"semi-intensive":[96],"for":[101,128,136],"patients.":[103],"create":[105],"will":[110],"determining":[115],"patient":[117,142],"prognosis.":[118],"Additionally,":[119],"take":[121],"step":[123],"towards":[124],"global":[126],"framework":[127],"prognosis":[130],"prediction":[131],"by":[132],"incorporating":[133],"geographically":[137],"ethnically":[139],"diverse":[140],"COVID--19":[141],"sets":[143],"into":[144],"our":[145,152],"own":[146],"model.":[147],"best":[150],"knowledge,":[153],"this":[154],"first":[157],"does":[160],"not":[161],"exclusively":[162],"utilize":[163],"local":[164],"data.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}