{"id":"https://openalex.org/W2408858765","doi":null,"title":"Neural net-bootstrap hybrid methods for prediction of complications in patients implanted with artificial heart valves.","display_name":"Neural net-bootstrap hybrid methods for prediction of complications in patients implanted with artificial heart valves.","publication_year":1994,"publication_date":"1994-01-01","ids":{"openalex":"https://openalex.org/W2408858765","mag":"2408858765","pmid":"https://pubmed.ncbi.nlm.nih.gov/8162215"},"language":"en","primary_location":{"id":"pmid:8162215","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/8162215","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of heart valve disease","raw_type":"Journal Article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"S Katz","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S Katz","raw_affiliation_strings":["University of California, Los Angeles"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021629078","display_name":"A S Katz","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A S Katz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005746355","display_name":"NICK J. LOWE","orcid":"https://orcid.org/0000-0001-6983-6517","observed_orcids":["https://orcid.org/0000-0001-6983-6517"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N Lowe","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5058409312","display_name":"Quijano Rc","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R C Quijano","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0542,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93314121,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"3","issue":"1","first_page":"49","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.635699987411499,"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"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.635699987411499,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.34860000014305115,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10320","display_name":"Neural Networks and Applications","score":0.002199999988079071,"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/prosthetic-heart-valves","display_name":"prosthetic heart valves","score":0.9860000014305115},{"id":"https://openalex.org/keywords/valve-related-complications","display_name":"valve-related complications","score":0.7889999747276306},{"id":"https://openalex.org/keywords/postoperative-mortality-prediction","display_name":"postoperative mortality prediction","score":0.777999997138977},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.796999990940094},{"id":"https://openalex.org/keywords/bootstrap-method","display_name":"bootstrapping","score":0.9350000023841858},{"id":"https://openalex.org/keywords/prediction-error-estimation","display_name":"prediction error estimation","score":0.7429999709129333},{"id":"https://openalex.org/keywords/anticoagulation","display_name":"anticoagulation","score":0.8519999980926514},{"id":"https://openalex.org/keywords/nyha-functional-class","display_name":"NYHA functional class","score":0.7910000085830688}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7737685441970825},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7611239552497864},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.5128774642944336},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.5016932487487793},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4173858165740967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34918656945228577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32097989320755005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.19778954982757568},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19445040822029114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09951925277709961}],"mesh":[{"descriptor_ui":"D001705","descriptor_name":"Bioprosthesis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005500","descriptor_name":"Follow-Up Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005544","descriptor_name":"Forecasting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006350","descriptor_name":"Heart Valve Prosthesis","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012306","descriptor_name":"Risk","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016896","descriptor_name":"Treatment Outcome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"pmid:8162215","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/8162215","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of heart valve disease","raw_type":"Journal Article"},{"id":"mag:2408858765","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/8162215","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"PubMed","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9391000270843506,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2419344923","https://openalex.org/W2398578361","https://openalex.org/W2046575449","https://openalex.org/W165965521","https://openalex.org/W2166763335","https://openalex.org/W4412405666","https://openalex.org/W1567354719","https://openalex.org/W4317526358","https://openalex.org/W4306319943","https://openalex.org/W2981774537"],"abstract_inverted_index":{"A":[0,72],"novel":[1],"hybrid":[2,198],"methodology":[3,41,199],"for":[4,25,44,80,110,119,164,181],"prediction":[5,26,46,50,193,213],"of":[6,27,60,75,82,105,150,168,173,212],"valve":[7,37,142],"related":[8],"complications":[9],"in":[10],"patients":[11,64],"with":[12,57,66],"implanted":[13,65],"artificial":[14],"heart":[15],"valves":[16],"is":[17],"discussed.":[18],"Artificial":[19],"neural":[20,113,175,205],"networks":[21],"provided":[22,99],"a":[23,54],"mechanism":[24],"postoperative":[28],"valve-related":[29],"deaths":[30],"based":[31],"on":[32,62,191],"preoperative":[33],"patient":[34],"information":[35],"and":[36,48,115,124,136,147,177],"parameters.":[38],"Then":[39],"bootstrap":[40,102],"was":[42,78,108,189],"applied":[43],"estimating":[45],"errors":[47],"maximizing":[49],"accuracy.":[51,194],"Data":[52],"from":[53],"clinical":[55],"trial":[56],"10":[58],"years":[59],"follow-up":[61],"789":[63],"Carpentier-Edwards":[67],"Pericardial":[68],"Bioprosthesis":[69],"were":[70,90,152,161],"used.":[71],"random":[73],"subset":[74],"the":[76,83,101,106,112,116,121,148,155,166,169,174,182,192,204,210],"data":[77],"reserved":[79],"validation":[81],"final":[84],"outcome.":[85],"The":[86],"remaining":[87],"patients'":[88],"records":[89],"repeatedly":[91],"divided":[92],"into":[93],"two":[94],"groups,":[95],"using":[96],"resampling":[97],"strategy":[98],"by":[100],"methodology.":[103],"One":[104],"groups":[107],"used":[109,153,163],"training":[111],"net":[114],"other":[117],"one":[118],"testing":[120],"trained":[122],"network":[123,156,206],"determining":[125],"error":[126,159,183],"rates.":[127,184],"Patient":[128],"information,":[129],"such":[130,144],"as":[131,139,141,145,154],"sex,":[132],"age,":[133],"NYHA":[134],"class":[135],"anticoagulation":[137],"therapy,":[138],"well":[140],"parameters,":[143],"size":[146],"date":[149],"implant":[151],"inputs.":[157],"Calculated":[158],"rates":[160],"then":[162],"assessing":[165],"distribution":[167],"error,":[170],"further":[171],"optimization":[172],"network,":[176],"constructing":[178],"confidence":[179],"intervals":[180],"Thus,":[185],"reliable":[186],"statistical":[187],"estimation":[188],"obtained":[190],"Additionally":[195],"this":[196],"new":[197],"allowed":[200],"us":[201],"to":[202,214],"optimize":[203],"even":[207],"further,":[208],"raising":[209],"accuracy":[211],"78%.":[215]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2016-06-24T00:00:00"}