{"id":"https://openalex.org/W4285010197","doi":"https://doi.org/10.1145/3529190.3534772","title":"A data-driven dialogue system to enhance medical training with focus on comorbidity constructs","display_name":"A data-driven dialogue system to enhance medical training with focus on comorbidity constructs","publication_year":2022,"publication_date":"2022-06-29","ids":{"openalex":"https://openalex.org/W4285010197","doi":"https://doi.org/10.1145/3529190.3534772"},"language":"en","primary_location":{"id":"doi:10.1145/3529190.3534772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529190.3534772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"},"type":"conference-paper","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/A5030534346","display_name":"Dimitrios Zikos","orcid":"https://orcid.org/0000-0002-2951-4350"},"institutions":[{"id":"https://openalex.org/I1629065","display_name":"Central Michigan University","ror":"https://ror.org/02xawj266","country_code":"US","type":"education","lineage":["https://openalex.org/I1629065"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitrios Zikos","raw_affiliation_strings":["Central Michigan University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central Michigan University, United States","institution_ids":["https://openalex.org/I1629065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042678083","display_name":"Oliver K.L. Strong","orcid":"https://orcid.org/0000-0001-9942-4281"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oliver Strong","raw_affiliation_strings":["Product engineer at Interoperability Institute, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Product engineer at Interoperability Institute, United States","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"576","last_page":"582"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12790","display_name":"Nursing Diagnosis and Documentation","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2910","display_name":"Issues, ethics and legal aspects"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12790","display_name":"Nursing Diagnosis and Documentation","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2910","display_name":"Issues, ethics and legal aspects"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.9757999777793884,"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/T11238","display_name":"Simulation-Based Education in Healthcare","score":0.9682999849319458,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/focus","display_name":"Focus (optics)","score":0.7144860029220581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6102908253669739},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5774562358856201},{"id":"https://openalex.org/keywords/comorbidity","display_name":"Comorbidity","score":0.5696258544921875},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.41099774837493896},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.35178306698799133},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.29345035552978516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28564900159835815},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17513814568519592},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.09725615382194519}],"concepts":[{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.7144860029220581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6102908253669739},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5774562358856201},{"id":"https://openalex.org/C2779159551","wikidata":"https://www.wikidata.org/wiki/Q1414874","display_name":"Comorbidity","level":2,"score":0.5696258544921875},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.41099774837493896},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.35178306698799133},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29345035552978516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28564900159835815},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17513814568519592},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.09725615382194519},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3529190.3534772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3529190.3534772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive Environments","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1830854096","https://openalex.org/W2038436407","https://openalex.org/W2063214639","https://openalex.org/W2075520345","https://openalex.org/W2094043926","https://openalex.org/W2100437926","https://openalex.org/W2120751691","https://openalex.org/W2150265177","https://openalex.org/W2152763590","https://openalex.org/W2415576803","https://openalex.org/W2782507607","https://openalex.org/W2790020274","https://openalex.org/W6715794283"],"related_works":["https://openalex.org/W1978188354","https://openalex.org/W3141224953","https://openalex.org/W2155091457","https://openalex.org/W4240532399","https://openalex.org/W2765738011","https://openalex.org/W4387318495","https://openalex.org/W2157868280","https://openalex.org/W2002142585","https://openalex.org/W4394050964","https://openalex.org/W2551249631"],"abstract_inverted_index":{"Medical":[0],"education":[1,35,295],"recently":[2],"started":[3],"to":[4,9,11,16,32,44,83,87,91,112,121,128,139,199,267,298],"utilize":[5],"large":[6,155],"clinical":[7,19],"datasets":[8],"provide,":[10],"medical":[12,34,46,247,309],"students,":[13],"data-driven":[14,294],"tools":[15],"practice":[17,50],"with":[18,153,157,178,272],"scenarios.":[20],"In":[21],"this":[22],"work":[23],"we":[24],"explain":[25],"a":[26,100,154,174,184,190,201,240,303],"dialogue":[27,41,80,238],"system":[28,42,81,104,116,252,259],"that":[29,125],"was":[30,151,243,265,296],"designed":[31],"enhance":[33],"training.":[36],"The":[37,79,149,171,181,261,286],"objective":[38],"of":[39,63,77,136,146,164,203,236,256],"the":[40,61,75,84,97,103,113,123,129,134,140,144,147,168,204,217,223,233,237,251,269,273,278,282,290],"is":[43],"assist":[45],"students":[47],"and":[48,58,108,142,189,196,214,258],"residents":[49],"recognizing":[51],"patient":[52],"comorbidities,":[53],"in":[54,167,207],"an":[55],"interactive":[56],"way,":[57],"learn":[59],"about":[60,289],"risk":[62,206],"each":[64,208],"comorbidity":[65,93],"construct":[66],"for":[67,216,306],"hospital":[68,162,219],"death,":[69],"inpatient":[70],"septicemia,":[71],"as":[72,74],"well":[73],"length":[76],"stay.":[78],"provides":[82,109],"learner":[85,98,224],"functionality":[86],"initiate":[88],"learning":[89],"sessions":[90],"develop":[92],"profiles.":[94],"Every":[95],"time":[96,222],"adds":[99,194,225],"new":[101,110,226],"comorbidity,":[102],"recalculates":[105],"conditional":[106],"probabilities":[107,211],"recommendations":[111],"learner.":[114],"A":[115],"backend":[117],"can":[118],"be":[119,268,299],"used":[120],"parameterize":[122],"comorbidities":[124,138,227],"will":[126],"qualify":[127],"recommender.":[130],"These":[131],"parameters":[132],"control":[133],"number":[135],"recommended":[137],"learner,":[141],"therefore":[143],"difficulty":[145],"system.":[148],"study":[150],"completed":[152,244],"dataset":[156],"more":[158],"than":[159],"11":[160],"million":[161],"admissions":[163],"Medicare":[165],"patients,":[166],"United":[169],"States.":[170],"algorithm":[172],"contains":[173],"customized":[175],"Bayesian":[176],"approach":[177],"feedback":[179],"loops:":[180],"trainee":[182],"initiates":[183],"scenario":[185],"by":[186,245],"selecting":[187],"demographics":[188],"principal":[191],"diagnosis,":[192],"then":[193],"chronic":[195],"hospital-acquired":[197],"conditions":[198],"see":[200],"summary":[202],"attributable":[205],"phase.":[209],"Conditional":[210],"are":[212],"calculated":[213],"updated":[215],"three":[218],"outcomes":[220],"every":[221],"per":[228],"recommender":[229],"suggestion.":[230],"To":[231],"examine":[232],"perceived":[234],"usefulness":[235],"system,":[239],"scenario-based":[241],"evaluation":[242],"18":[246],"residents,":[248],"who":[249],"evaluated":[250],"navigation,":[253],"usefulness,":[254],"validity":[255],"information":[257],"features.":[260],"\u2018system":[262],"features\u2019":[263],"dimension":[264],"found":[266,297],"one":[270],"ranked":[271],"highest":[274],"score":[275,284],"(4.15/5),":[276],"while":[277],"\u201cinformation":[279],"validity\u201d":[280],"received":[281],"lowest":[283],"(3.77/5).":[285],"composite":[287],"variable":[288],"participants\u2019":[291],"opinion":[292],"on":[293],"high":[300],"(4.27/5),":[301],"demonstrating":[302],"strong":[304],"demand":[305],"next":[307],"generation":[308],"training":[310],"applications.":[311]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}