{"id":"https://openalex.org/W3080673786","doi":"https://doi.org/10.1145/3394486.3406470","title":"Tutorial on Human-Centered Explainability for Healthcare","display_name":"Tutorial on Human-Centered Explainability for Healthcare","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3080673786","doi":"https://doi.org/10.1145/3394486.3406470","mag":"3080673786"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3406470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3406470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","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/A5103154375","display_name":"Prithwish Chakraborty","orcid":"https://orcid.org/0000-0003-1407-7677"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Prithwish Chakraborty","raw_affiliation_strings":["IBM Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064480048","display_name":"Bum Chul Kwon","orcid":"https://orcid.org/0000-0002-9391-6274"},"institutions":[{"id":"https://openalex.org/I4210087032","display_name":"Cambridge Scientific (United States)","ror":"https://ror.org/001s4dh65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bum Chul Kwon","raw_affiliation_strings":["IBM Research, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210087032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001532090","display_name":"Sanjoy Kumer Dey","orcid":"https://orcid.org/0000-0003-1236-7232"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjoy Dey","raw_affiliation_strings":["IBM Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077627355","display_name":"Amit Dhurandhar","orcid":"https://orcid.org/0000-0002-3579-1450"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Dhurandhar","raw_affiliation_strings":["IBM Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101569034","display_name":"Daniel M. Gruen","orcid":"https://orcid.org/0000-0003-0155-3777"},"institutions":[{"id":"https://openalex.org/I4210087032","display_name":"Cambridge Scientific (United States)","ror":"https://ror.org/001s4dh65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Gruen","raw_affiliation_strings":["IBM Research, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210087032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070430680","display_name":"Kenney Ng","orcid":"https://orcid.org/0000-0003-0792-070X"},"institutions":[{"id":"https://openalex.org/I4210087032","display_name":"Cambridge Scientific (United States)","ror":"https://ror.org/001s4dh65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210087032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenney Ng","raw_affiliation_strings":["IBM Research, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210087032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042350438","display_name":"Daby Sow","orcid":"https://orcid.org/0000-0003-2227-5243"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daby Sow","raw_affiliation_strings":["IBM Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015286159","display_name":"Kush R. Varshney","orcid":"https://orcid.org/0000-0002-7376-5536"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kush R. Varshney","raw_affiliation_strings":["IBM Research, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5103154375"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78432961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"3547","last_page":"3548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9983000159263611,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9983000159263611,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9969000220298767,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/interpretability","display_name":"Interpretability","score":0.7764561176300049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7190197706222534},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.6167191863059998},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.5797738432884216},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5728543996810913},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5331242680549622},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.504654049873352},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38850927352905273}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7764561176300049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190197706222534},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6167191863059998},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.5797738432884216},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5728543996810913},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5331242680549622},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.504654049873352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38850927352905273},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394486.3406470","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3406470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1999802986","https://openalex.org/W2282821441","https://openalex.org/W2618851150","https://openalex.org/W2784499877","https://openalex.org/W2891503716","https://openalex.org/W2892181857","https://openalex.org/W2945976633","https://openalex.org/W2963532813","https://openalex.org/W2965127139","https://openalex.org/W2970726176","https://openalex.org/W3013899790","https://openalex.org/W3098949126"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"In":[0,193],"recent":[1],"years,":[2],"the":[3,61,116,125,142,166,176,239],"rapid":[4],"advances":[5],"in":[6,30,60,136,153],"Artificial":[7],"Intelligence":[8],"(AI)":[9],"techniques":[10],"along":[11],"with":[12],"an":[13,122,173],"ever-increasing":[14],"availability":[15],"of":[16,34,64,75,95,124,127,144,175,233],"healthcare":[17,154],"data":[18,156],"have":[19,27,111,131],"made":[20],"many":[21],"novel":[22],"analyses":[23],"possible.":[24],"Significant":[25],"successes":[26],"been":[28,55,132],"observed":[29],"a":[31,101,107,112,199,230],"wide":[32],"range":[33],"tasks":[35],"such":[36,82,169,182,191,217,237],"as":[37,106,146,208,210,238],"next":[38],"diagnosis":[39],"prediction,":[40,42],"AKI":[41],"adverse":[43],"event":[44],"predictions":[45],"including":[46],"mortality":[47],"and":[48,58,105,160,171,228],"unexpected":[49],"hospital":[50],"re-admissions.":[51],"However,":[52,93],"there":[53],"has":[54],"limited":[56],"adoption":[57],"use":[59],"clinical":[62,158],"practice":[63],"these":[65],"methods":[66,83,215],"due":[67],"to":[68,87,149,202],"their":[69],"black-box":[70],"nature.":[71],"A":[72],"significant":[73],"amount":[74],"research":[76],"is":[77,98],"currently":[78],"focused":[79],"on":[80],"making":[81],"more":[84,91],"interpretable":[85],"or":[86],"make":[88],"post-hoc":[89],"explanations":[90],"accessible.":[92],"most":[94],"this":[96,194],"work":[97],"done":[99],"at":[100,115],"very":[102],"low":[103],"level":[104],"result,":[108],"may":[109],"not":[110],"direct":[113],"impact":[114],"point-of-care.":[117],"This":[118],"tutorial":[119],"will":[120,140,163,185,197,220],"provide":[121,198,229],"overview":[123,174],"landscape":[126],"different":[128,177,206],"approaches":[129,178],"that":[130,179],"developed":[133],"for":[134,168,190,226],"explainability":[135,145,227],"healthcare.":[137],"Specifically,":[138],"we":[139,196],"present":[141,172],"problem":[143],"it":[147],"pertains":[148],"various":[150],"personas":[151,170],"involved":[152],"viz.":[155],"scientists,":[157],"researchers,":[159],"clinicians.":[161],"We":[162,184,219],"chart":[164],"out":[165],"requirements":[167],"can":[180],"address":[181],"needs.":[183],"also":[186],"walk-through":[187],"several":[188],"use-cases":[189],"approaches.":[192],"process,":[195],"brief":[200,231],"introduction":[201],"explainability,":[203],"charting":[204],"its":[205],"dimensions":[207],"well":[209],"covering":[211],"some":[212,223],"relevant":[213],"interpretability":[214],"spanning":[216],"dimensions.":[218],"touch":[221],"upon":[222],"practical":[224],"guides":[225],"survey":[232],"open":[234],"source":[235],"tools":[236],"IBM":[240],"AI":[241],"Explainability":[242],"360":[243],"Open":[244],"Source":[245],"Toolkit.":[246]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
