{"id":"https://openalex.org/W2944481928","doi":"https://doi.org/10.1145/3368555.3384456","title":"Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines","display_name":"Interpretable subgroup discovery in treatment effect estimation with application to opioid prescribing guidelines","publication_year":2020,"publication_date":"2020-03-20","ids":{"openalex":"https://openalex.org/W2944481928","doi":"https://doi.org/10.1145/3368555.3384456","mag":"2944481928"},"language":"en","primary_location":{"id":"doi:10.1145/3368555.3384456","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3368555.3384456","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3368555.3384456","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Health, Inference, and Learning","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3368555.3384456","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Chirag Nagpal","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chirag Nagpal","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dennis Wei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dennis Wei","raw_affiliation_strings":["IBM Research"],"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bhanukiran Vinzamuri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bhanukiran Vinzamuri","raw_affiliation_strings":["IBM Research"],"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Monica Shekhar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139993","display_name":"Global Services (Slovakia)","ror":"https://ror.org/047kbmp67","country_code":"SK","type":"company","lineage":["https://openalex.org/I4210139993"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Monica Shekhar","raw_affiliation_strings":["IBM Global Business Services"],"affiliations":[{"raw_affiliation_string":"IBM Global Business Services","institution_ids":["https://openalex.org/I4210139993"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sara E. Berger","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sara E. Berger","raw_affiliation_strings":["IBM Research"],"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Subhro Das","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Subhro Das","raw_affiliation_strings":["IBM Research"],"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Kush R. Varshney","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kush R. Varshney","raw_affiliation_strings":["IBM Research"],"affiliations":[{"raw_affiliation_string":"IBM Research","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.8024,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.85547463,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10576","display_name":"Opioid Use Disorder Treatment","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10576","display_name":"Opioid Use Disorder Treatment","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T10043","display_name":"Substance Abuse Treatment and Outcomes","score":0.9908000230789185,"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/observational-study","display_name":"Observational study","score":0.7107999920845032},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.44909998774528503},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.447299987077713},{"id":"https://openalex.org/keywords/adverse-effect","display_name":"Adverse effect","score":0.4453999996185303},{"id":"https://openalex.org/keywords/treatment-effect","display_name":"Treatment effect","score":0.44029998779296875},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.3682999908924103},{"id":"https://openalex.org/keywords/opioid","display_name":"Opioid","score":0.3564000129699707}],"concepts":[{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.7107999920845032},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5849999785423279},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5205000042915344},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.447299987077713},{"id":"https://openalex.org/C197934379","wikidata":"https://www.wikidata.org/wiki/Q2047938","display_name":"Adverse effect","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C2987370644","wikidata":"https://www.wikidata.org/wiki/Q7836903","display_name":"Treatment effect","level":2,"score":0.44029998779296875},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.4065000116825104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3959999978542328},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C2781063702","wikidata":"https://www.wikidata.org/wiki/Q427523","display_name":"Opioid","level":3,"score":0.3564000129699707},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35569998621940613},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.33149999380111694},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3093999922275543},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.30720001459121704},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.30379998683929443},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.29760000109672546},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C89337504","wikidata":"https://www.wikidata.org/wiki/Q4828276","display_name":"Average treatment effect","level":3,"score":0.28299999237060547},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.2727000117301941}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3368555.3384456","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3368555.3384456","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3368555.3384456","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Health, Inference, and Learning","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.03297","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.03297","pdf_url":"https://arxiv.org/pdf/1905.03297","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":"doi:10.1145/3368555.3384456","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3368555.3384456","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3368555.3384456","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Health, Inference, and Learning","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2944481928.pdf","grobid_xml":"https://content.openalex.org/works/W2944481928.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1539805244","https://openalex.org/W1907909084","https://openalex.org/W1993178542","https://openalex.org/W1998738644","https://openalex.org/W2003336670","https://openalex.org/W2028238067","https://openalex.org/W2029711335","https://openalex.org/W2048849975","https://openalex.org/W2055376632","https://openalex.org/W2062344108","https://openalex.org/W2064903582","https://openalex.org/W2130939988","https://openalex.org/W2132917208","https://openalex.org/W2138019504","https://openalex.org/W2225156818","https://openalex.org/W2296986887","https://openalex.org/W2329316201","https://openalex.org/W2330130766","https://openalex.org/W2536218334","https://openalex.org/W2607168684","https://openalex.org/W2762217448","https://openalex.org/W2762837562","https://openalex.org/W2766029864","https://openalex.org/W2766090311","https://openalex.org/W2775438176","https://openalex.org/W2790223969","https://openalex.org/W2884339255","https://openalex.org/W3125459412","https://openalex.org/W6681551524"],"related_works":[],"abstract_inverted_index":{"The":[0,105],"dearth":[1],"of":[2,11,35,64,96],"prescribing":[3],"guidelines":[4],"for":[5,103,119],"physicians":[6],"is":[7],"one":[8],"key":[9],"driver":[10],"the":[12,17,97,116],"current":[13],"opioid":[14,48],"epidemic":[15],"in":[16],"United":[18],"States.":[19],"In":[20],"this":[21,51],"work,":[22],"we":[23,53],"analyze":[24],"medical":[25],"and":[26],"pharmaceutical":[27],"claims":[28],"data":[29,63],"to":[30,41,75,88,100,108],"draw":[31],"insights":[32,111],"on":[33,112],"characteristics":[34],"patients":[36],"who":[37],"are":[38],"more":[39],"prone":[40],"adverse":[42],"outcomes":[43,99],"after":[44],"an":[45,68],"initial":[46],"synthetic":[47],"prescription.":[49],"Toward":[50],"end,":[52],"propose":[54],"a":[55,83],"generative":[56],"model":[57],"that":[58,66],"allows":[59],"discovery":[60],"from":[61],"observational":[62],"subgroups":[65],"demonstrate":[67],"enhanced":[69],"or":[70],"diminished":[71],"causal":[72],"effect":[73],"due":[74],"treatment.":[76],"Our":[77],"approach":[78,106],"models":[79],"these":[80],"sub-populations":[81],"as":[82],"mixture":[84],"distribution,":[85],"using":[86],"sparsity":[87],"enhance":[89],"interpretability,":[90],"while":[91],"jointly":[92],"learning":[93],"nonlinear":[94],"predictors":[95],"potential":[98],"better":[101],"adjust":[102],"confounding.":[104],"leads":[107],"human":[109],"interpretable":[110],"discovered":[113],"subgroups,":[114],"improving":[115],"practical":[117],"utility":[118],"decision":[120],"support.":[121]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-05-16T00:00:00"}
