{"id":"https://openalex.org/W4320024291","doi":"https://doi.org/10.1109/bigdata55660.2022.10021054","title":"DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data","display_name":"DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024291","doi":"https://doi.org/10.1109/bigdata55660.2022.10021054"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10021054","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10021054","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"2022 IEEE International Conference on Big Data (Big Data)","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/A5054580543","display_name":"Abdulaziz Alhamadani","orcid":"https://orcid.org/0009-0003-4732-5144"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abdulaziz Alhamadani","raw_affiliation_strings":["Virginia Tech,Department of Computer Science,Falls Church,VA,USA,22043"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Computer Science,Falls Church,VA,USA,22043","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004703367","display_name":"Shailik Sarkar","orcid":"https://orcid.org/0000-0001-6544-2262"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shailik Sarkar","raw_affiliation_strings":["Virginia Tech,Department of Computer Science,Falls Church,VA,USA,22043"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Computer Science,Falls Church,VA,USA,22043","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057307805","display_name":"Lulwah Alkulaib","orcid":"https://orcid.org/0000-0001-9827-0882"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]},{"id":"https://openalex.org/I36721946","display_name":"Kuwait University","ror":"https://ror.org/021e5j056","country_code":"KW","type":"education","lineage":["https://openalex.org/I36721946"]}],"countries":["KW","US"],"is_corresponding":false,"raw_author_name":"Lulwah Alkulaib","raw_affiliation_strings":["Virginia Tech,Department of Computer Science,Falls Church,VA,USA,22043","Department of Computer Science, Kuwait University, Kuwait"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Computer Science,Falls Church,VA,USA,22043","institution_ids":["https://openalex.org/I859038795"]},{"raw_affiliation_string":"Department of Computer Science, Kuwait University, Kuwait","institution_ids":["https://openalex.org/I36721946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038002204","display_name":"Chang\u2010Tien Lu","orcid":"https://orcid.org/0000-0003-3675-0199"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang-Tien Lu","raw_affiliation_strings":["Virginia Tech,Department of Computer Science,Falls Church,VA,USA,22043"],"affiliations":[{"raw_affiliation_string":"Virginia Tech,Department of Computer Science,Falls Church,VA,USA,22043","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054580543"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.6847,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8236246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5163","last_page":"5172"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11860","display_name":"HIV, Drug Use, Sexual Risk","score":0.9952999949455261,"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"}},"topics":[{"id":"https://openalex.org/T11860","display_name":"HIV, Drug Use, Sexual Risk","score":0.9952999949455261,"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"}},{"id":"https://openalex.org/T10576","display_name":"Opioid Use Disorder Treatment","score":0.9783999919891357,"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/T10043","display_name":"Substance Abuse Treatment and Outcomes","score":0.9743000268936157,"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/socioeconomic-status","display_name":"Socioeconomic status","score":0.6728441119194031},{"id":"https://openalex.org/keywords/poverty","display_name":"Poverty","score":0.6440677046775818},{"id":"https://openalex.org/keywords/scarcity","display_name":"Scarcity","score":0.5376276969909668},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.42186230421066284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37541237473487854},{"id":"https://openalex.org/keywords/criminology","display_name":"Criminology","score":0.34917140007019043},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.3407602310180664},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3354188799858093},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.33438926935195923},{"id":"https://openalex.org/keywords/development-economics","display_name":"Development economics","score":0.32245054841041565},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30205079913139343},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.29400330781936646},{"id":"https://openalex.org/keywords/environmental-health","display_name":"Environmental health","score":0.2873588800430298},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.26531609892845154},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.24050810933113098},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.10668861865997314}],"concepts":[{"id":"https://openalex.org/C147077947","wikidata":"https://www.wikidata.org/wiki/Q1515895","display_name":"Socioeconomic status","level":3,"score":0.6728441119194031},{"id":"https://openalex.org/C189326681","wikidata":"https://www.wikidata.org/wiki/Q10294","display_name":"Poverty","level":2,"score":0.6440677046775818},{"id":"https://openalex.org/C109747225","wikidata":"https://www.wikidata.org/wiki/Q815758","display_name":"Scarcity","level":2,"score":0.5376276969909668},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.42186230421066284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37541237473487854},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.34917140007019043},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3407602310180664},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3354188799858093},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.33438926935195923},{"id":"https://openalex.org/C47768531","wikidata":"https://www.wikidata.org/wiki/Q1127188","display_name":"Development economics","level":1,"score":0.32245054841041565},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30205079913139343},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.29400330781936646},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.2873588800430298},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26531609892845154},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.24050810933113098},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.10668861865997314},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10021054","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10021054","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2116341502","https://openalex.org/W2117763689","https://openalex.org/W2126332556","https://openalex.org/W2369596206","https://openalex.org/W2515503816","https://openalex.org/W2581446410","https://openalex.org/W2593775298","https://openalex.org/W2620664872","https://openalex.org/W2767560037","https://openalex.org/W2810022200","https://openalex.org/W2889505988","https://openalex.org/W2906511616","https://openalex.org/W2906645503","https://openalex.org/W2913482286","https://openalex.org/W2915042269","https://openalex.org/W2922124692","https://openalex.org/W2944758444","https://openalex.org/W2952909210","https://openalex.org/W2955994854","https://openalex.org/W2964071396","https://openalex.org/W2965456597","https://openalex.org/W2970473387","https://openalex.org/W2979572588","https://openalex.org/W2986926761","https://openalex.org/W3016545725","https://openalex.org/W3043083589","https://openalex.org/W3081435198","https://openalex.org/W3081601505","https://openalex.org/W3094941608","https://openalex.org/W3101667008","https://openalex.org/W3126084544","https://openalex.org/W3149534281","https://openalex.org/W3160915496","https://openalex.org/W3173994567","https://openalex.org/W3196159558","https://openalex.org/W3210178559","https://openalex.org/W4205428945","https://openalex.org/W4205957872","https://openalex.org/W4210644479","https://openalex.org/W4213325611","https://openalex.org/W4220667573","https://openalex.org/W4249678958","https://openalex.org/W6760753967"],"related_works":["https://openalex.org/W2146826310","https://openalex.org/W2116091144","https://openalex.org/W4230812784","https://openalex.org/W2036833122","https://openalex.org/W1883234320","https://openalex.org/W3124507921","https://openalex.org/W2363054974","https://openalex.org/W2152254235","https://openalex.org/W2502259144","https://openalex.org/W4385785607"],"abstract_inverted_index":{"Drug":[0],"overdose":[1,95],"deaths":[2,96],"are":[3],"a":[4,49,67,85],"dreadful":[5],"crisis":[6],"that":[7,88,134],"leads":[8],"to":[9,31,41,120],"substantial":[10],"societal":[11],"impairments.":[12],"Its":[13],"harmful":[14],"impact":[15],"directly":[16],"affects":[17],"families":[18],"and":[19,36,58,72,99,154],"communities.":[20],"To":[21],"assist":[22],"policymakers":[23],"in":[24],"mitigating":[25],"this":[26],"crisis,":[27,153],"it":[28],"is":[29,118],"crucial":[30],"study":[32],"the":[33,42,56,76,81,104,125,129,138,147,152,156],"societal,":[34],"economic,":[35],"criminal":[37],"contributing":[38,158],"factors":[39,159],"linked":[40],"crisis.":[43,77,130],"Unfortunately,":[44],"current":[45],"data-driven":[46],"works":[47,65],"assume":[48],"singular":[50],"factor,":[51],"such":[52],"as":[53],"poverty":[54],"being":[55],"cause":[57],"disregarding":[59],"other":[60],"realistic":[61,86,122],"causes.":[62],"Besides,":[63],"recent":[64],"exhibited":[66],"lack":[68],"of":[69,75,93,106,124,128,160],"explainable":[70],"models":[71],"spatial":[73],"analysis":[74],"Thus,":[78],"DOD-Explainer":[79,102],"links":[80],"gap":[82],"by":[83,109,151],"developing":[84],"framework":[87],"predicts":[89],"highly":[90],"impacted":[91,149],"counties":[92,150],"drug":[94,161],"from":[97,142],"crime":[98],"socioeconomic":[100],"data.":[101],"overcomes":[103],"challenge":[105],"data":[107,112],"scarcity":[108],"proposing":[110],"three":[111],"augmentation":[113],"methods.":[114],"Then,":[115],"an":[116],"algorithm":[117],"proposed":[119],"provide":[121],"explanations":[123],"leading":[126],"causes":[127],"The":[131],"results":[132],"show":[133],"our":[135],"application":[136],"achieves":[137],"best":[139],"predictive":[140],"accuracy":[141],"several":[143],"models,":[144],"accurately":[145],"identifies":[146],"most/least":[148],"reveals":[155],"most":[157],"overdoses.":[162]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
