{"id":"https://openalex.org/W2786498357","doi":"https://doi.org/10.29007/8bh6","title":"Anemic Status Prediction using Multilayer Perceptron Neural Network Model","display_name":"Anemic Status Prediction using Multilayer Perceptron Neural Network Model","publication_year":2018,"publication_date":"2018-01-23","ids":{"openalex":"https://openalex.org/W2786498357","doi":"https://doi.org/10.29007/8bh6","mag":"2786498357"},"language":"en","primary_location":{"id":"doi:10.29007/8bh6","is_oa":true,"landing_page_url":"https://doi.org/10.29007/8bh6","pdf_url":"https://easychair.org/publications/open/nlVs","source":{"id":"https://openalex.org/S4220651395","display_name":"EPiC series in computing","issn_l":"2398-7340","issn":["2398-7340"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPiC Series in Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://easychair.org/publications/open/nlVs","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048219918","display_name":"Ching Hao Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ching Hao Yu","raw_affiliation_strings":["University of Southern California (USC), Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California (USC), Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060474572","display_name":"Manas Bhatnagar","orcid":"https://orcid.org/0000-0001-6847-4665"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manas Bhatnagar","raw_affiliation_strings":["University of Southern California (USC), Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California (USC), Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035233580","display_name":"Rachel Hogen","orcid":"https://orcid.org/0000-0002-4822-8667"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rachel Hogen","raw_affiliation_strings":["University of Southern California (USC), Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California (USC), Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016307522","display_name":"Dilin Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dilin Mao","raw_affiliation_strings":["University of Southern California (USC), Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California (USC), Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045732893","display_name":"Atefeh Farzindar","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atefeh Farzindar","raw_affiliation_strings":["University of Southern California (USC), Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California (USC), Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069136593","display_name":"Kiran Dhanireddy","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kiran Dhanireddy","raw_affiliation_strings":["University of Southern California (USC), Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"University of Southern California (USC), Los Angeles, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5048219918"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.6375,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.73368323,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9865999817848206,"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/T10320","display_name":"Neural Networks and Applications","score":0.9797000288963318,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6632511615753174},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6288419961929321},{"id":"https://openalex.org/keywords/anemia","display_name":"Anemia","score":0.5785658359527588},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5235968828201294},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4749983549118042},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.4479696452617645},{"id":"https://openalex.org/keywords/blood-transfusion","display_name":"Blood transfusion","score":0.41182172298431396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3979228734970093},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38007137179374695},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3634103536605835},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.36308565735816956},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.1673125922679901},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10550299286842346}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6632511615753174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6288419961929321},{"id":"https://openalex.org/C2778248108","wikidata":"https://www.wikidata.org/wiki/Q5445","display_name":"Anemia","level":2,"score":0.5785658359527588},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5235968828201294},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4749983549118042},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.4479696452617645},{"id":"https://openalex.org/C2780014101","wikidata":"https://www.wikidata.org/wiki/Q183605","display_name":"Blood transfusion","level":2,"score":0.41182172298431396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3979228734970093},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38007137179374695},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3634103536605835},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.36308565735816956},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.1673125922679901},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10550299286842346}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.29007/8bh6","is_oa":true,"landing_page_url":"https://doi.org/10.29007/8bh6","pdf_url":"https://easychair.org/publications/open/nlVs","source":{"id":"https://openalex.org/S4220651395","display_name":"EPiC series in computing","issn_l":"2398-7340","issn":["2398-7340"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPiC Series in Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.29007/8bh6","is_oa":true,"landing_page_url":"https://doi.org/10.29007/8bh6","pdf_url":"https://easychair.org/publications/open/nlVs","source":{"id":"https://openalex.org/S4220651395","display_name":"EPiC series in computing","issn_l":"2398-7340","issn":["2398-7340"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPiC Series in Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320308668","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60"},{"id":"https://openalex.org/F4320320769","display_name":"Indian Council of Agricultural Research","ror":"https://ror.org/04fw54a43"},{"id":"https://openalex.org/F4320332444","display_name":"Council for Research in the Social Sciences, Columbia University","ror":"https://ror.org/00hj8s172"},{"id":"https://openalex.org/F4320336714","display_name":"ICAR-Indian Agricultural Statistics Research Institute","ror":null},{"id":"https://openalex.org/F4320337253","display_name":"Instituto de Ciencias del Mar y Limnolog\u00eda, Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2786498357.pdf","grobid_xml":"https://content.openalex.org/works/W2786498357.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2112081648","https://openalex.org/W2152824077","https://openalex.org/W2156909104","https://openalex.org/W2169976759","https://openalex.org/W6683581212"],"related_works":["https://openalex.org/W2391251536","https://openalex.org/W4200126743","https://openalex.org/W3158157485","https://openalex.org/W2028893364","https://openalex.org/W2243550366","https://openalex.org/W2047676992","https://openalex.org/W2358691733","https://openalex.org/W3000407446","https://openalex.org/W2103550798","https://openalex.org/W3031114400"],"abstract_inverted_index":{"Artificial":[0],"Neural":[1,167],"Network":[2,168],"(ANN)":[3],"has":[4],"been":[5],"well":[6],"recognized":[7],"as":[8],"an":[9],"effective":[10],"tool":[11],"in":[12,26,68,106],"medical":[13,91,154,188],"science.":[14],"Medical":[15,159],"data":[16,22,92],"is":[17,46,74,135,192],"complex,":[18],"and":[19,56,93,102,116,120,173],"currently":[20,124],"collected":[21,150],"does":[23],"not":[24],"flow":[25],"a":[27,129,193,196],"standardized":[28],"way.":[29],"Data":[30],"complexity":[31],"makes":[32],"the":[33,86,90,152,157,175],"outcomes":[34],"associated":[35,114],"with":[36,113,142],"intra-":[37,146],"operative":[38,147],"blood":[39,69,132,148,200],"management":[40,149],"difficult":[41],"to":[42,48,64,76,84,95,126,169],"assess.":[43],"Reliable":[44],"evidence":[45,79],"needed":[47],"selectively":[49],"define":[50],"areas":[51],"that":[52],"can":[53,99],"be":[54,100],"improved":[55],"establish":[57],"standard":[58],"protocols":[59],"across":[60],"healthcare":[61],"service":[62],"lines":[63],"substantiate":[65],"best":[66],"practice":[67],"product":[70],"utilization.":[71],"The":[72],"ANN":[73],"able":[75],"provide":[77],"this":[78,138],"using":[80],"automatic":[81],"learning":[82],"techniques":[83],"mine":[85],"hidden":[87],"information":[88],"under":[89],"come":[94,112],"conclusions.":[96],"Blood":[97,110],"transfusions":[98,111],"lifesaving":[101],"are":[103,117,123],"used":[104,125],"commonly":[105],"complex":[107],"surgical":[108],"cases.":[109],"risks":[115],"costly.":[118],"Anemia":[119],"clinical":[121],"symptoms":[122],"determine":[127],"whether":[128,190],"packed":[130,198],"red":[131,199],"cell":[133,201],"transfusion":[134],"necessary.":[136],"In":[137],"paper,":[139],"we":[140],"worked":[141],"unique":[143],"datasets":[144],"of":[145,156,161,177,182],"from":[151],"electronic":[153],"record":[155],"Keck":[158],"Center":[160],"USC.":[162],"We":[163],"apply":[164],"Multilayer":[165],"Perceptron":[166],"estimate":[170],"missing":[171],"values":[172],"predict":[174],"degree":[176],"post-operative":[178],"anemia.":[179],"Successful":[180],"predictions":[181],"postoperative":[183],"anemia":[184],"may":[185],"help":[186],"inform":[187],"practitioners":[189],"there":[191],"need":[194],"for":[195],"further":[197],"transfusion.":[202]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}