{"id":"https://openalex.org/W4290943854","doi":"https://doi.org/10.1145/3534678.3542917","title":"epiDAMIK 5.0","display_name":"epiDAMIK 5.0","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4290943854","doi":"https://doi.org/10.1145/3534678.3542917"},"language":"en","primary_location":{"id":"doi:10.1145/3534678.3542917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3542917","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5052463345","display_name":"Bijaya Adhikari","orcid":"https://orcid.org/0000-0001-8409-8073"},"institutions":[{"id":"https://openalex.org/I126307644","display_name":"University of Iowa","ror":"https://ror.org/036jqmy94","country_code":"US","type":"education","lineage":["https://openalex.org/I126307644"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bijaya Adhikari","raw_affiliation_strings":["University of Iowa, Iowa City, IA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Iowa, Iowa City, IA, USA","institution_ids":["https://openalex.org/I126307644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103827486","display_name":"Amulya Yadav","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amulya Yadav","raw_affiliation_strings":["Pennsylvania State University, State College, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University, State College, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058189122","display_name":"Sen Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sen Pei","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002594174","display_name":"Ajitesh Srivastava","orcid":"https://orcid.org/0000-0002-8706-5717"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajitesh Srivastava","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024820745","display_name":"Sarah Kefayati","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Kefayati","raw_affiliation_strings":["IBM, San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM, San Francisco, CA, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067521241","display_name":"Alexander Rodr\u00edguez","orcid":"https://orcid.org/0000-0002-4313-9913"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Rodr\u00edguez","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015718160","display_name":"Marie\u2010Laure Charpignon","orcid":"https://orcid.org/0000-0002-5786-2627"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marie-Laure Charpignon","raw_affiliation_strings":["Massachusetts Institute of Technology, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Boston, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044848288","display_name":"Anil Vullikanti","orcid":"https://orcid.org/0000-0002-8597-6197"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anil Vullikanti","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061110232","display_name":"B. Aditya Prakash","orcid":"https://orcid.org/0000-0002-3252-455X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"B. Aditya Prakash","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2069,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45959596,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4850","last_page":"4851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7922999858856201,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7922999858856201,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.7475000023841858,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.7405999898910522,"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/epidemiology","display_name":"Epidemiology","score":0.6729304194450378},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.6712799072265625},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6572721004486084},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.6012263894081116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5882152318954468},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5274059176445007},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5063987970352173},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.48506537079811096},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2366330623626709},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19480738043785095},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11715009808540344},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.08965000510215759},{"id":"https://openalex.org/keywords/infectious-disease","display_name":"Infectious disease (medical specialty)","score":0.08139118552207947}],"concepts":[{"id":"https://openalex.org/C107130276","wikidata":"https://www.wikidata.org/wiki/Q133805","display_name":"Epidemiology","level":2,"score":0.6729304194450378},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.6712799072265625},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6572721004486084},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.6012263894081116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5882152318954468},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5274059176445007},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5063987970352173},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.48506537079811096},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2366330623626709},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19480738043785095},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11715009808540344},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.08965000510215759},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.08139118552207947},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3534678.3542917","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3534678.3542917","pdf_url":null,"source":{"id":"https://openalex.org/S4363608767","display_name":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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":"Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6200000047683716,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3194238161"],"related_works":["https://openalex.org/W3119540162","https://openalex.org/W4313474620","https://openalex.org/W3152916563","https://openalex.org/W3152606407","https://openalex.org/W4327956415","https://openalex.org/W3194637846","https://openalex.org/W3121371976","https://openalex.org/W4247880953","https://openalex.org/W4300964707","https://openalex.org/W1996408511"],"abstract_inverted_index":{"Similar":[0],"to":[1,12,49,82],"previous":[2],"iterations,":[3],"the":[4,25,53,56,94,103,140],"epiDAMIK":[5],"@":[6],"KDD":[7],"workshop":[8],"is":[9],"a":[10,67,85],"forum":[11],"promote":[13,50],"data":[14,31,87,115],"driven":[15,32],"approaches":[16,33],"in":[17,39,44,93,129],"epidemiology":[18,144],"and":[19,51,62,65,72,105,117,124,131,137,145],"public":[20,146],"health":[21],"research.":[22],"Even":[23],"after":[24],"devastating":[26],"impact":[27],"of":[28,55,60,107,114,134,142],"COVID-19":[29,98],"pandemic,":[30],"are":[34,43,127],"not":[35],"as":[36,41],"widely":[37],"studied":[38],"epidemiology,":[40,64],"they":[42],"other":[45],"spaces.":[46],"We":[47],"aim":[48],"raise":[52],"profile":[54],"emerging":[57],"research":[58],"area":[59],"data-driven":[61],"computational":[63],"create":[66],"venue":[68],"for":[69],"presenting":[70],"state-of-the-art":[71],"in-progress":[73],"results-in":[74],"particular,":[75],"results":[76],"that":[77],"would":[78],"otherwise":[79],"be":[80],"difficult":[81],"present":[83],"at":[84],"major":[86],"mining":[88,116],"conference,":[89],"including":[90],"lessons":[91],"learnt":[92],"'trenches'.":[95],"The":[96],"current":[97],"pandemic":[99],"has":[100],"only":[101],"showcased":[102],"urgency":[104],"importance":[106],"this":[108],"area.":[109],"Our":[110],"target":[111],"audience":[112],"consists":[113],"machine":[118],"learning":[119],"researchers":[120],"from":[121,139],"both":[122],"academia":[123],"industry":[125],"who":[126],"interested":[128],"epidemiological":[130],"public-health":[132],"applications":[133],"their":[135],"work,":[136],"practitioners":[138],"areas":[141],"mathematical":[143],"health.":[147],"Homepage:":[148],"https://epidamik.github.io/.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-08-13T00:00:00"}
