{"id":"https://openalex.org/W4385568531","doi":"https://doi.org/10.1145/3580305.3599369","title":"Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes","display_name":"Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385568531","doi":"https://doi.org/10.1145/3580305.3599369"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599369","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599369","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599369","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599369","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013412723","display_name":"Song Wei","orcid":"https://orcid.org/0000-0001-7725-4269"},"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":true,"raw_author_name":"Song Wei","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"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/A5047736740","display_name":"Yao Xie","orcid":"https://orcid.org/0000-0001-6777-2951"},"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":"Yao Xie","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"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/A5028464504","display_name":"Christopher S. Josef","orcid":"https://orcid.org/0000-0001-9368-6926"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher S. Josef","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012511062","display_name":"Rishikesan Kamaleswaran","orcid":"https://orcid.org/0000-0001-8366-4811"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rishikesan Kamaleswaran","raw_affiliation_strings":["Emory University, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Emory University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5013412723"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":4.1461,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.94602087,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2536","last_page":"2546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9588000178337097,"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/T13377","display_name":"Ecosystem dynamics and resilience","score":0.9521999955177307,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6181806921958923},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5464516878128052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5451267957687378},{"id":"https://openalex.org/keywords/sepsis","display_name":"Sepsis","score":0.5114814043045044},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.26968666911125183},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2498146891593933},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2199876308441162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18154871463775635}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6181806921958923},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5464516878128052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5451267957687378},{"id":"https://openalex.org/C2778384902","wikidata":"https://www.wikidata.org/wiki/Q183134","display_name":"Sepsis","level":2,"score":0.5114814043045044},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26968666911125183},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2498146891593933},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2199876308441162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18154871463775635},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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:10.1145/3580305.3599369","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599369","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599369","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3580305.3599369","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599369","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599369","source":null,"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1138536059","display_name":"ATD: Scanning Dynamic Spatial-Temporal Discrete Events for Threat Detection","funder_award_id":"1830210","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1600291198","display_name":null,"funder_award_id":"2134037","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G198916478","display_name":"CAREER: Quick Detection for Streaming Data Over Dynamic Networks","funder_award_id":"1650913","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3161381640","display_name":null,"funder_award_id":"211253","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4324459455","display_name":null,"funder_award_id":"DMS-1938106","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G4477870991","display_name":null,"funder_award_id":"DMS-1830210","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4593561328","display_name":"Sequential Detection and Prediction for Solar Situation Awareness in Power Networks","funder_award_id":"1938106","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4996304644","display_name":null,"funder_award_id":"DMS-1938106","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5954070948","display_name":null,"funder_award_id":"CMMI-","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5986150752","display_name":null,"funder_award_id":"2112533","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6127310570","display_name":null,"funder_award_id":"2015787","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G6553311011","display_name":null,"funder_award_id":"DMS-2134037","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7238632903","display_name":null,"funder_award_id":"2112533","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G7799450740","display_name":null,"funder_award_id":"CMMI-2015787","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7911581280","display_name":null,"funder_award_id":"CCF-1650913","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G855777396","display_name":null,"funder_award_id":"CCF-1650913","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G975068223","display_name":null,"funder_award_id":"DMS-1830210","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309381","display_name":"Emory University","ror":"https://ror.org/03czfpz43"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385568531.pdf","grobid_xml":"https://content.openalex.org/works/W4385568531.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W138372711","https://openalex.org/W1594866779","https://openalex.org/W1607114662","https://openalex.org/W2047127798","https://openalex.org/W2069849731","https://openalex.org/W2076072287","https://openalex.org/W2143428876","https://openalex.org/W2242522500","https://openalex.org/W2280404143","https://openalex.org/W2328875713","https://openalex.org/W2396961413","https://openalex.org/W2403458786","https://openalex.org/W2527091029","https://openalex.org/W2611126847","https://openalex.org/W2614741637","https://openalex.org/W2980581521","https://openalex.org/W2995282027","https://openalex.org/W3036069262","https://openalex.org/W3048842799","https://openalex.org/W3100923283","https://openalex.org/W3107467812","https://openalex.org/W3131712583","https://openalex.org/W3196113573","https://openalex.org/W3204958849","https://openalex.org/W3206927749","https://openalex.org/W3217360279","https://openalex.org/W4212774754","https://openalex.org/W4212796348","https://openalex.org/W4289528791"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3215560449","https://openalex.org/W3030236844","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4237737355","https://openalex.org/W4287880334","https://openalex.org/W1520457732","https://openalex.org/W2794721326","https://openalex.org/W2832459556"],"abstract_inverted_index":{"Modern":[0],"health":[1],"care":[2],"systems":[3],"are":[4,85],"conducting":[5],"continuous,":[6],"automated":[7],"surveillance":[8],"of":[9,155],"the":[10,44,167],"electronic":[11],"medical":[12],"record":[13],"(EMR)":[14],"to":[15,40,87,110,130,139,151,158],"identify":[16,41,80],"adverse":[17,45,90],"events":[18,24],"with":[19,106,117],"increasing":[20],"frequency;":[21],"however,":[22],"many":[23],"such":[25],"as":[26],"sepsis":[27],"do":[28],"not":[29],"have":[30],"elucidated":[31],"prodromes":[32],"(i.e.,":[33],"event":[34,46,91],"chains)":[35],"that":[36,59,82,177],"can":[37,60],"be":[38,140],"used":[39],"and":[42,53,78,84,120],"intercept":[43],"early":[47],"in":[48,70,162],"its":[49],"course.":[50],"Clinically":[51],"relevant":[52],"interpretable":[54,174],"results":[55],"require":[56],"a":[57,99,112,125,132,152],"framework":[58],"(i)":[61],"infer":[62],"temporal":[63],"interactions":[64],"across":[65],"multiple":[66],"patient":[67],"features":[68],"found":[69],"EMR":[71],"data":[72,153],"(e.g.,":[73,92],"Labs,":[74],"vital":[75],"signs,":[76],"etc.)":[77],"(ii)":[79],"patterns":[81],"precede":[83,178],"specific":[86],"an":[88],"impending":[89],"sepsis).":[93],"In":[94],"this":[95],"work,":[96],"we":[97],"propose":[98],"linear":[100],"multivariate":[101],"Hawkes":[102],"process":[103],"model,":[104],"coupled":[105],"ReLU":[107],"link":[108],"function,":[109],"recover":[111],"Granger":[113],"Causal":[114],"(GC)":[115],"graph":[116,170],"both":[118],"exciting":[119],"inhibiting":[121],"effects.":[122],"We":[123],"develop":[124],"scalable":[126],"two-phase":[127],"gradient-based":[128],"method":[129,147],"obtain":[131],"maximum":[133],"surrogate-likelihood":[134],"estimator,":[135],"which":[136],"is":[137,148,182],"shown":[138],"effective":[141],"via":[142],"extensive":[143],"numerical":[144],"simulation.":[145],"Our":[146],"subsequently":[149],"extended":[150],"set":[154],"patients":[156],"admitted":[157],"Grady":[159],"hospital":[160],"system":[161],"Atlanta,":[163],"GA,":[164],"USA,":[165],"where":[166],"estimated":[168],"GC":[169,175],"identifies":[171],"several":[172],"highly":[173],"chains":[176],"sepsis.":[179],"The":[180],"code":[181],"available":[183],"at":[184],"https://github.com/SongWei-GT/two-phase-MHP.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}