{"id":"https://openalex.org/W2959739624","doi":"https://doi.org/10.1109/vts.2019.8758642","title":"Diagnosis Outcome Preview through Learning","display_name":"Diagnosis Outcome Preview through Learning","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2959739624","doi":"https://doi.org/10.1109/vts.2019.8758642","mag":"2959739624"},"language":"en","primary_location":{"id":"doi:10.1109/vts.2019.8758642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts.2019.8758642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 37th VLSI Test Symposium (VTS)","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/A5079176809","display_name":"Chenlei Fang","orcid":"https://orcid.org/0000-0002-0518-6348"},"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":"Chenlei Fang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103119441","display_name":"Qicheng Huang","orcid":"https://orcid.org/0000-0003-2891-6662"},"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":false,"raw_author_name":"Qicheng Huang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011949952","display_name":"Soumya Mittal","orcid":"https://orcid.org/0000-0001-8262-3313"},"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":false,"raw_author_name":"Soumya Mittal","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039038157","display_name":"R. D. Blanton","orcid":"https://orcid.org/0000-0001-6108-2925"},"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":false,"raw_author_name":"R. D. Shawn Blanton","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5079176809"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":5.8504,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95636527,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.8931000232696533,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.8931000232696533,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"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/T12574","display_name":"Clinical Reasoning and Diagnostic Skills","score":0.7865999937057495,"subfield":{"id":"https://openalex.org/subfields/2714","display_name":"Family Practice"},"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/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.7735000252723694,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.649992048740387},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6075192093849182},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3492205739021301},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05576765537261963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.649992048740387},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6075192093849182},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3492205739021301},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05576765537261963},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vts.2019.8758642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vts.2019.8758642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 37th VLSI Test Symposium (VTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6800000071525574,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1564266201","https://openalex.org/W1570448133","https://openalex.org/W2031335280","https://openalex.org/W2067067399","https://openalex.org/W2142551277","https://openalex.org/W2143990893","https://openalex.org/W2146990954","https://openalex.org/W2159277142","https://openalex.org/W2165162946","https://openalex.org/W2521254966","https://openalex.org/W2571148617","https://openalex.org/W2884745705","https://openalex.org/W2911964244","https://openalex.org/W6726584638"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2978999882","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W3141031773","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Logic":[0],"diagnosis":[1,27,51,58,82,88,165],"is":[2,19,143],"a":[3,48,61,95,100],"software-based":[4],"methodology":[5,111],"to":[6,46,76,119,129,160],"identify":[7],"the":[8,106,109,139,145,154],"behavior":[9],"and":[10,31,71,90,99,122,125,132,135],"location":[11],"of":[12,38,50,80,85,108,138,147,164],"defects":[13],"in":[14,23,60],"failing":[15],"integrated":[16],"circuits,":[17],"which":[18,54],"an":[20],"essential":[21],"step":[22],"yield":[24,39],"learning.":[25],"However,":[26],"can":[28,156],"be":[29,44],"time-consuming":[30],"produce":[32],"unuseful":[33],"information":[34,159],"for":[35,115],"further":[36],"investigation":[37],"loss.":[40],"It":[41],"would":[42],"therefore":[43],"desirable":[45],"have":[47],"preview":[49],"outcomes":[52],"beforehand,":[53],"helps":[55],"engineers":[56],"allocate":[57],"resources":[59],"more":[62],"efficient":[63],"way.":[64],"In":[65],"this":[66],"work,":[67],"random":[68],"forest":[69],"classification":[70],"regression":[72],"techniques":[73],"are":[74],"used":[75],"predict":[77],"three":[78],"aspects":[79],"potential":[81],"outcomes:":[83],"existence":[84],"multiple":[86,116],"defects,":[87],"resolution,":[89],"runtime":[91,140],"magnitude.":[92,149],"Experiments":[93],"on":[94],"28nm":[96],"test":[97],"chip":[98,104],"90nm":[101],"high-volume":[102],"manufactured":[103],"prove":[105,152],"efficacy":[107],"proposed":[110],"-":[112],"high":[113],"accuracy":[114,121,131],"defect":[117],"(up":[118,128],"0.86":[120],"0.93":[123],"AUC)":[124],"resolution":[126],"prediction":[127,142],"0.84":[130],"0.87":[133],"AUC),":[134],"over":[136],"98%":[137],"magnitude":[141],"within":[144],"error":[146],"one":[148],"These":[150],"results":[151],"that":[153],"method":[155],"provide":[157],"helpful":[158],"guide":[161],"prudent":[162],"allocation":[163],"resources.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
