{"id":"https://openalex.org/W3184125943","doi":"https://doi.org/10.1145/3469266.3469881","title":"Joint prediction of cocaine craving and euphoria using structured prediction energy networks","display_name":"Joint prediction of cocaine craving and euphoria using structured prediction energy networks","publication_year":2021,"publication_date":"2021-06-25","ids":{"openalex":"https://openalex.org/W3184125943","doi":"https://doi.org/10.1145/3469266.3469881","mag":"3184125943"},"language":"en","primary_location":{"id":"doi:10.1145/3469266.3469881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469266.3469881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 Workshop on Future of Digital Biomarkers","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/A5078401505","display_name":"Bhanu Teja Gullapalli","orcid":null},"institutions":[{"id":"https://openalex.org/I177605424","display_name":"Amherst College","ror":"https://ror.org/028vqfs63","country_code":"US","type":"education","lineage":["https://openalex.org/I177605424"]},{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhanu Teja Gullapalli","raw_affiliation_strings":["College of Information and Computer Science, University of Massachusetts, Amherst, Amherst, Massachusetts, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Computer Science, University of Massachusetts, Amherst, Amherst, Massachusetts, United States","institution_ids":["https://openalex.org/I177605424","https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008253709","display_name":"Gustavo A. Angarita","orcid":"https://orcid.org/0000-0001-5568-9878"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gustavo A Angarita","raw_affiliation_strings":["Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychiatry, Yale School of Medicine, New Haven, Connecticut, United States","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074602782","display_name":"Deepak Ganesan","orcid":"https://orcid.org/0000-0003-2762-9194"},"institutions":[{"id":"https://openalex.org/I177605424","display_name":"Amherst College","ror":"https://ror.org/028vqfs63","country_code":"US","type":"education","lineage":["https://openalex.org/I177605424"]},{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deepak Ganesan","raw_affiliation_strings":["College of Information and Computer Science, University of Massachusetts, Amherst, Amherst, Massachusetts, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Computer Science, University of Massachusetts, Amherst, Amherst, Massachusetts, United States","institution_ids":["https://openalex.org/I177605424","https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101486879","display_name":"Tauhidur Rahman","orcid":"https://orcid.org/0000-0003-1981-6395"},"institutions":[{"id":"https://openalex.org/I177605424","display_name":"Amherst College","ror":"https://ror.org/028vqfs63","country_code":"US","type":"education","lineage":["https://openalex.org/I177605424"]},{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tauhidur Rahman","raw_affiliation_strings":["College of Information and Computer Science, University of Massachusetts, Amherst, Amherst, Massachusetts, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information and Computer Science, University of Massachusetts, Amherst, Amherst, Massachusetts, United States","institution_ids":["https://openalex.org/I177605424","https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09628657,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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/T10800","display_name":"Forensic Toxicology and Drug Analysis","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/3005","display_name":"Toxicology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9717000126838684,"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/euphoriant","display_name":"Euphoriant","score":0.9403882622718811},{"id":"https://openalex.org/keywords/craving","display_name":"Craving","score":0.8468073606491089},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5554764270782471},{"id":"https://openalex.org/keywords/visual-analogue-scale","display_name":"Visual analogue scale","score":0.4933845102787018},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4899543821811676},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.4234992563724518},{"id":"https://openalex.org/keywords/addiction","display_name":"Addiction","score":0.35852938890457153},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.33333876729011536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3292750120162964},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1637037992477417},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.10441327095031738},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.10090172290802002}],"concepts":[{"id":"https://openalex.org/C38829236","wikidata":"https://www.wikidata.org/wiki/Q203994","display_name":"Euphoriant","level":2,"score":0.9403882622718811},{"id":"https://openalex.org/C2779541405","wikidata":"https://www.wikidata.org/wiki/Q498902","display_name":"Craving","level":3,"score":0.8468073606491089},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5554764270782471},{"id":"https://openalex.org/C14184104","wikidata":"https://www.wikidata.org/wiki/Q1362526","display_name":"Visual analogue scale","level":2,"score":0.4933845102787018},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4899543821811676},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.4234992563724518},{"id":"https://openalex.org/C48856860","wikidata":"https://www.wikidata.org/wiki/Q12029","display_name":"Addiction","level":2,"score":0.35852938890457153},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.33333876729011536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3292750120162964},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1637037992477417},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.10441327095031738},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.10090172290802002},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3469266.3469881","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469266.3469881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 Workshop on Future of Digital Biomarkers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.75}],"awards":[{"id":"https://openalex.org/G6007203114","display_name":null,"funder_award_id":"R01 DA033733 and P20 DA027844","funder_id":"https://openalex.org/F4320337347","funder_display_name":"National Institute on Drug Abuse"},{"id":"https://openalex.org/G8424824572","display_name":null,"funder_award_id":"1U54EB020404-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337347","display_name":"National Institute on Drug Abuse","ror":"https://ror.org/00fq5cm18"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1619117638","https://openalex.org/W1665214252","https://openalex.org/W2003878569","https://openalex.org/W2004427766","https://openalex.org/W2099937493","https://openalex.org/W2104324457","https://openalex.org/W2133510502","https://openalex.org/W2135874502","https://openalex.org/W2176228818","https://openalex.org/W2309141491","https://openalex.org/W2512564223","https://openalex.org/W2518071270","https://openalex.org/W2734389934","https://openalex.org/W2792059839","https://openalex.org/W2804071681","https://openalex.org/W2809187403","https://openalex.org/W2913340405","https://openalex.org/W2932399282","https://openalex.org/W2954163167","https://openalex.org/W2964205912","https://openalex.org/W2979338636","https://openalex.org/W2997591727","https://openalex.org/W3003924791"],"related_works":["https://openalex.org/W4254007905","https://openalex.org/W2093000185","https://openalex.org/W1501076713","https://openalex.org/W4366822064","https://openalex.org/W147122687","https://openalex.org/W1995339649","https://openalex.org/W1976309976","https://openalex.org/W2043375363","https://openalex.org/W2060636378","https://openalex.org/W2610332113"],"abstract_inverted_index":{"In":[0,65],"recent":[1],"years,":[2],"wearable":[3,120],"and":[4,16,23,29,54,84,90,112,135,149],"mobile":[5],"health":[6],"sensing":[7],"technologies":[8,46],"have":[9],"been":[10],"developed":[11],"to":[12,57,80,100],"track":[13],"drug":[14],"usage":[15],"monitor":[17],"different":[18],"addiction-related":[19],"states,":[20],"including":[21],"craving":[22,111,134],"euphoria.":[24],"These":[25],"states":[26,49],"are":[27],"interdependent":[28],"correlated,":[30],"which":[31],"is":[32],"well":[33],"documented":[34],"in":[35],"the":[36,39,42,59,82,91,129],"literature.":[37],"However,":[38],"state":[40],"of":[41,51,109,131,146],"art":[43],"digital":[44],"biomarker":[45],"model":[47,126],"these":[48],"independent":[50],"each":[52],"other":[53],"thus":[55],"fail":[56],"use":[58,98],"inherent":[60],"relationship":[61],"while":[62],"making":[63],"predictions.":[64],"our":[66],"current":[67],"work,":[68],"we":[69,97],"demonstrate":[70],"how":[71],"structured":[72],"prediction":[73,138],"energy":[74],"networks":[75],"(SPENs)":[76],"can":[77,127],"be":[78],"used":[79],"capture":[81],"correlation":[83],"dependencies":[85],"between":[86],"self-reported":[87,103],"craving,":[88],"euphoria,":[89],"underlying":[92],"physiological":[93],"biomarkers.":[94],"More":[95],"specifically,":[96],"SPENs":[99],"jointly":[101],"predict":[102],"visual":[104],"analog":[105],"scale":[106],"(VAS)":[107],"ratings":[108],"cocaine":[110],"euphoria":[113,137],"from":[114,118],"cardiac":[115],"signals":[116],"captured":[117],"a":[119,140],"chest":[121],"band.":[122],"The":[123],"proposed":[124],"SPEN-based":[125],"improve":[128],"performance":[130],"both":[132],"VAS":[133,136],"by":[139],"Normalized":[141],"Root":[142],"Mean":[143],"Square":[144],"Error":[145],"respectively":[147],"4.6\\%":[148],"5.4\\%.":[150]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}