{"id":"https://openalex.org/W2994612161","doi":"https://doi.org/10.1109/access.2019.2958047","title":"Bayesian Non-Parametric Classification With Tree-Based Feature Transformation for NIPPV Efficacy Prediction in COPD Patients","display_name":"Bayesian Non-Parametric Classification With Tree-Based Feature Transformation for NIPPV Efficacy Prediction in COPD Patients","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2994612161","doi":"https://doi.org/10.1109/access.2019.2958047","mag":"2994612161"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2958047","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2958047","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926358.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926358.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078773537","display_name":"Yang Weng","orcid":"https://orcid.org/0000-0003-0209-5595"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Weng","raw_affiliation_strings":["College of Mathematics, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051839900","display_name":"Fang Yin","orcid":"https://orcid.org/0000-0001-9538-848X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Fang","raw_affiliation_strings":["College of Mathematics, Sichuan University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047209619","display_name":"Haiying Yan","orcid":"https://orcid.org/0000-0002-9243-1283"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Haiying Yan","raw_affiliation_strings":["Department of Respiration and Critical Care Medicine, Sichuan Provincial People\u2019s Hospital, Chengdu, China","Department of Respiration and Critical Care Medicine, Sichuan Provincial People's Hospital, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Department of Respiration and Critical Care Medicine, Sichuan Provincial People\u2019s Hospital, Chengdu, China","institution_ids":[]},{"raw_affiliation_string":"Department of Respiration and Critical Care Medicine, Sichuan Provincial People's Hospital, Chengdu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397655","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-6633-8843"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Department of Respiration and Critical Care Medicine, Sichuan Provincial People\u2019s Hospital, Chengdu, China","Department of Respiration and Critical Care Medicine, Sichuan Provincial People's Hospital, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Department of Respiration and Critical Care Medicine, Sichuan Provincial People\u2019s Hospital, Chengdu, China","institution_ids":[]},{"raw_affiliation_string":"Department of Respiration and Critical Care Medicine, Sichuan Provincial People's Hospital, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061260399","display_name":"Wenxing Hong","orcid":"https://orcid.org/0000-0003-3687-1812"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxing Hong","raw_affiliation_strings":["School of Aerospace Engineering, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Aerospace Engineering, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078773537"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4087,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.6683263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"177774","last_page":"177783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9380999803543091,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9380999803543091,"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/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9291999936103821,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9126999974250793,"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":0.6668006777763367},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.600360631942749},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5311148762702942},{"id":"https://openalex.org/keywords/copd","display_name":"COPD","score":0.5170384049415588},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49991583824157715},{"id":"https://openalex.org/keywords/endotracheal-intubation","display_name":"Endotracheal intubation","score":0.49941515922546387},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.46367594599723816},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.44905805587768555},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.42955392599105835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3800239562988281},{"id":"https://openalex.org/keywords/intubation","display_name":"Intubation","score":0.3583131432533264},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3384135663509369},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3276973366737366},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15602976083755493},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12991294264793396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11269047856330872},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.09825196862220764}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6668006777763367},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.600360631942749},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5311148762702942},{"id":"https://openalex.org/C2776780178","wikidata":"https://www.wikidata.org/wiki/Q199804","display_name":"COPD","level":2,"score":0.5170384049415588},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49991583824157715},{"id":"https://openalex.org/C2991710064","wikidata":"https://www.wikidata.org/wiki/Q750195","display_name":"Endotracheal intubation","level":3,"score":0.49941515922546387},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.46367594599723816},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.44905805587768555},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.42955392599105835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3800239562988281},{"id":"https://openalex.org/C2778716859","wikidata":"https://www.wikidata.org/wiki/Q939018","display_name":"Intubation","level":2,"score":0.3583131432533264},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3384135663509369},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3276973366737366},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15602976083755493},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12991294264793396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11269047856330872},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.09825196862220764},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2958047","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2958047","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926358.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eb5fb0d0f9374f94b915ced3ee77e27e","is_oa":true,"landing_page_url":"https://doaj.org/article/eb5fb0d0f9374f94b915ced3ee77e27e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 177774-177783 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2958047","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2958047","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08926358.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3469436741","display_name":null,"funder_award_id":"3502Z20183011","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4811743277","display_name":null,"funder_award_id":"2018YFC","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4985881045","display_name":null,"funder_award_id":"2018H0035","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7210031645","display_name":null,"funder_award_id":"201830","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7501866480","display_name":null,"funder_award_id":"2018YFC0830300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2994612161.pdf","grobid_xml":"https://content.openalex.org/works/W2994612161.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1511030552","https://openalex.org/W1566018662","https://openalex.org/W1647002864","https://openalex.org/W1654787807","https://openalex.org/W1678356000","https://openalex.org/W1934021597","https://openalex.org/W1965324211","https://openalex.org/W1970406594","https://openalex.org/W2076618162","https://openalex.org/W2092594036","https://openalex.org/W2106651585","https://openalex.org/W2107152312","https://openalex.org/W2108598243","https://openalex.org/W2115584760","https://openalex.org/W2117063635","https://openalex.org/W2124807415","https://openalex.org/W2143612262","https://openalex.org/W2143700254","https://openalex.org/W2149539590","https://openalex.org/W2149706766","https://openalex.org/W2163922914","https://openalex.org/W2170738476","https://openalex.org/W2295598076","https://openalex.org/W2327349206","https://openalex.org/W2341535507","https://openalex.org/W2417426513","https://openalex.org/W2510919056","https://openalex.org/W2577934311","https://openalex.org/W2608475714","https://openalex.org/W2610314927","https://openalex.org/W2736149543","https://openalex.org/W2750748674","https://openalex.org/W2769802045","https://openalex.org/W2784059725","https://openalex.org/W2788730650","https://openalex.org/W2794950708","https://openalex.org/W2800046250","https://openalex.org/W2802007176","https://openalex.org/W2838748090","https://openalex.org/W2890461558","https://openalex.org/W2903950532","https://openalex.org/W2951359136","https://openalex.org/W2962979321","https://openalex.org/W2963627453","https://openalex.org/W2972576589","https://openalex.org/W3102476541","https://openalex.org/W3211952227","https://openalex.org/W4211049957","https://openalex.org/W4236137412","https://openalex.org/W6629804754","https://openalex.org/W6630627855","https://openalex.org/W6633661181","https://openalex.org/W6636782278","https://openalex.org/W6637147955","https://openalex.org/W6640231202","https://openalex.org/W6642674909","https://openalex.org/W6677385034","https://openalex.org/W6685160515","https://openalex.org/W6703949738","https://openalex.org/W6747465143","https://openalex.org/W6767204510"],"related_works":["https://openalex.org/W2624812451","https://openalex.org/W4389954502","https://openalex.org/W3129615087","https://openalex.org/W2771255398","https://openalex.org/W2930428186","https://openalex.org/W3200027047","https://openalex.org/W4385770464","https://openalex.org/W2605766317","https://openalex.org/W3120363735","https://openalex.org/W2394323384"],"abstract_inverted_index":{"Non-invasive":[0],"positive":[1],"pressure":[2],"ventilation":[3,21],"(NIPPV)":[4],"is":[5],"a":[6,33,70],"life-saving":[7],"approach":[8],"which":[9,48,73],"was":[10],"developed":[11],"to":[12,43,63,82],"reduce":[13],"the":[14,50,56,85,92,100,105,133,149],"complications":[15],"of":[16,36,39,52,107],"endotracheal":[17,66,162],"intubation":[18,163],"and":[19,103,136,159],"invasive":[20],"in":[22,46],"patients":[23],"with":[24,78,118,140],"chronic":[25],"obstructive":[26],"pulmonary":[27],"disease":[28],"(COPD).":[29],"However,":[30],"it":[31],"has":[32,127],"certain":[34],"probability":[35],"invalid.":[37],"Failure":[38],"NIPPV":[40,59,89,134],"will":[41],"lead":[42],"an":[44],"increase":[45],"mortality,":[47],"highlights":[49],"importance":[51,102],"rational":[53],"diagnosis":[54],"about":[55],"need":[57],"for":[58,155],"therapy.":[60],"In":[61],"order":[62],"avoid":[64],"delaying":[65,161],"intubation,":[67],"we":[68],"proposed":[69,113,150],"hybrid":[71],"model":[72,126],"combine":[74],"tree-based":[75,109],"feature":[76,101,110,124],"transformation":[77,125],"Bayesian":[79],"non-parametric":[80],"classification,":[81],"predict":[83],"whether":[84],"patient":[86],"should":[87],"adopt":[88],"based":[90],"on":[91,131],"their":[93],"own":[94],"physical":[95],"condition.":[96],"We":[97],"delved":[98],"into":[99],"justified":[104],"rationality":[106],"using":[108],"transformation.":[111],"The":[112],"gaussian":[114],"process":[115],"classification":[116],"(GPC)":[117],"gradient":[119],"boosting":[120],"decision":[121,157],"tree":[122],"(GBDT)":[123],"shown":[128],"state-of-the-art":[129],"results":[130],"both":[132],"dataset":[135],"two":[137],"simulated":[138],"datasets":[139],"larger":[141],"sample":[142],"size.":[143],"For":[144],"critically":[145],"ill":[146],"COPD":[147],"patients,":[148],"method":[151],"provides":[152],"diagnostic":[153],"assistance":[154],"physicians'":[156],"making":[158],"avoids":[160],"or":[164],"mechanical":[165],"ventilation.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}