{"id":"https://openalex.org/W3149914081","doi":"https://doi.org/10.1109/ccwc51732.2021.9375834","title":"Evaluation of Machine Learning Architectures in Healthcare","display_name":"Evaluation of Machine Learning Architectures in Healthcare","publication_year":2021,"publication_date":"2021-01-27","ids":{"openalex":"https://openalex.org/W3149914081","doi":"https://doi.org/10.1109/ccwc51732.2021.9375834","mag":"3149914081"},"language":"en","primary_location":{"id":"doi:10.1109/ccwc51732.2021.9375834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9375834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","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/A5024474832","display_name":"Yash Verma","orcid":"https://orcid.org/0000-0003-0631-5436"},"institutions":[{"id":"https://openalex.org/I67328108","display_name":"California State University, Fresno","ror":"https://ror.org/03enmdz06","country_code":"US","type":"education","lineage":["https://openalex.org/I67328108"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yash Verma","raw_affiliation_strings":["California State University, Fresno, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University, Fresno, USA","institution_ids":["https://openalex.org/I67328108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069024757","display_name":"Shahab Tayeb","orcid":"https://orcid.org/0000-0002-7466-1042"},"institutions":[{"id":"https://openalex.org/I67328108","display_name":"California State University, Fresno","ror":"https://ror.org/03enmdz06","country_code":"US","type":"education","lineage":["https://openalex.org/I67328108"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahab Tayeb","raw_affiliation_strings":["California State University, Fresno, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"California State University, Fresno, USA","institution_ids":["https://openalex.org/I67328108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7171,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.69778192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1377","last_page":"1382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9977999925613403,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9894000291824341,"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/computer-science","display_name":"Computer science","score":0.7074830532073975},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.6466692090034485},{"id":"https://openalex.org/keywords/healthcare-industry","display_name":"Healthcare industry","score":0.5909931659698486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5363460779190063},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5337579846382141},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4717990458011627},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4264230728149414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7074830532073975},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.6466692090034485},{"id":"https://openalex.org/C2989086416","wikidata":"https://www.wikidata.org/wiki/Q15067276","display_name":"Healthcare industry","level":3,"score":0.5909931659698486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5363460779190063},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5337579846382141},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4717990458011627},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4264230728149414},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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:10.1109/ccwc51732.2021.9375834","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccwc51732.2021.9375834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1641498739","https://openalex.org/W2000269560","https://openalex.org/W2108598243","https://openalex.org/W2611650229","https://openalex.org/W2754210552","https://openalex.org/W2783438813","https://openalex.org/W2788633781","https://openalex.org/W2798251715","https://openalex.org/W2801837154","https://openalex.org/W2811374795","https://openalex.org/W2814817590","https://openalex.org/W2889685514","https://openalex.org/W2891756914","https://openalex.org/W2904060505","https://openalex.org/W2914826240","https://openalex.org/W2962708065","https://openalex.org/W2963466845","https://openalex.org/W2964929523","https://openalex.org/W2968605358","https://openalex.org/W2980584449","https://openalex.org/W2984254165","https://openalex.org/W2984802304","https://openalex.org/W3013277995","https://openalex.org/W3020738708","https://openalex.org/W3024486016","https://openalex.org/W3025815763","https://openalex.org/W3082123973","https://openalex.org/W3090831210","https://openalex.org/W3101156210","https://openalex.org/W4288616780","https://openalex.org/W4300485340","https://openalex.org/W6751045465"],"related_works":["https://openalex.org/W4292218619","https://openalex.org/W2229667228","https://openalex.org/W3201609874","https://openalex.org/W4388379723","https://openalex.org/W4228999760","https://openalex.org/W2889960072","https://openalex.org/W2403355020","https://openalex.org/W4385782821","https://openalex.org/W2794914551","https://openalex.org/W2979051924"],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"(ML)":[2],"is":[3,34,40,67,118],"now":[4,41],"influencing":[5],"every":[6],"part":[7],"of":[8,44,59,96,121,123],"the":[9,32,36,57,62,87,93,100,109,115,124,143],"industry.":[10],"From":[11],"detecting":[12],"objects":[13],"from":[14,147],"an":[15,42],"image":[16],"to":[17,51,70,111],"recommending":[18],"different":[19,53,127],"items":[20],"while":[21],"doing":[22],"online":[23],"shopping":[24],"based":[25,141],"on":[26,142],"someone's":[27],"recent":[28],"browsing":[29],"history.":[30],"Now,":[31],"ML":[33,76],"touching":[35],"healthcare":[37],"sector.":[38,79],"It":[39],"area":[43],"interest":[45],"for":[46,129],"more":[47],"doctors":[48],"and":[49,55,75],"scientists":[50],"implement":[52,71],"techniques":[54,128],"harvest":[56],"power":[58],"ML.":[60],"Over":[61],"past":[63],"few":[64],"years,":[65],"there":[66],"a":[68,119,138],"race":[69],"Artificial":[72],"Intelligence":[73],"(AI)":[74],"in":[77,99,114],"this":[78],"Multiple":[80],"scholars":[81],"have":[82],"presented":[83],"their":[84],"approach.":[85],"Currently,":[86],"proposed":[88],"models":[89,98,105],"are":[90,106],"nowhere":[91],"near":[92],"actual":[94],"implementation":[95],"these":[97,104],"real":[101],"world.":[102],"However,":[103],"laying":[107],"down":[108],"path":[110],"do":[112],"so":[113],"future.":[116],"Here":[117],"review":[120],"some":[122],"papers":[125],"discussing":[126],"targeting":[130],"various":[131],"diseases":[132],"using":[133],"AI/ML.":[134],"Each":[135],"paper":[136],"introduces":[137],"method":[139],"developed":[140],"separate":[144],"datasets":[145],"created":[146],"organically":[148],"collected":[149],"data.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
