{"id":"https://openalex.org/W2967726007","doi":"https://doi.org/10.1109/access.2019.2934166","title":"Prediction of Length of Stay on the Intensive Care Unit Based on Least Absolute Shrinkage and Selection Operator","display_name":"Prediction of Length of Stay on the Intensive Care Unit Based on Least Absolute Shrinkage and Selection Operator","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2967726007","doi":"https://doi.org/10.1109/access.2019.2934166","mag":"2967726007"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2934166","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2934166","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08793128.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/ielx7/6287639/8600701/08793128.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100697898","display_name":"Chunling Li","orcid":"https://orcid.org/0000-0002-9381-2686"},"institutions":[{"id":"https://openalex.org/I4210118397","display_name":"Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital","ror":"https://ror.org/01qh26a66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chunling Li","raw_affiliation_strings":["Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x2019;s Hospital, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x2019;s Hospital, Chengdu, China","institution_ids":["https://openalex.org/I4210118397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103246282","display_name":"Longyi Chen","orcid":"https://orcid.org/0000-0003-3173-5774"},"institutions":[{"id":"https://openalex.org/I4210118397","display_name":"Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital","ror":"https://ror.org/01qh26a66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longyi Chen","raw_affiliation_strings":["Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x2019;s Hospital, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x2019;s Hospital, Chengdu, China","institution_ids":["https://openalex.org/I4210118397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045546082","display_name":"Jie Feng","orcid":"https://orcid.org/0000-0002-8032-7542"},"institutions":[{"id":"https://openalex.org/I4210118397","display_name":"Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital","ror":"https://ror.org/01qh26a66","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210118397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Feng","raw_affiliation_strings":["Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x2019;s Hospital, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x2019;s Hospital, Chengdu, China","institution_ids":["https://openalex.org/I4210118397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090693707","display_name":"Duanpo Wu","orcid":"https://orcid.org/0000-0001-6954-6587"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duanpo Wu","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067974748","display_name":"Zimeng Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zimeng Wang","raw_affiliation_strings":["School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103208925","display_name":"Junbiao Liu","orcid":"https://orcid.org/0000-0001-7326-4574"},"institutions":[{"id":"https://openalex.org/I4210119388","display_name":"Zhejiang Science and Technology Information Institute","ror":"https://ror.org/02rzte064","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210119388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbiao Liu","raw_affiliation_strings":["Hangzhou Neuro Science and Technology Company Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Neuro Science and Technology Company Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210119388"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031477814","display_name":"Weifeng Xu","orcid":"https://orcid.org/0000-0002-1313-1136"},"institutions":[{"id":"https://openalex.org/I4210119388","display_name":"Zhejiang Science and Technology Information Institute","ror":"https://ror.org/02rzte064","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210119388"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Xu","raw_affiliation_strings":["Hangzhou Neuro Science and Technology Company Ltd., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Neuro Science and Technology Company Ltd., Hangzhou, China","institution_ids":["https://openalex.org/I4210119388"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100697898"],"corresponding_institution_ids":["https://openalex.org/I4210118397"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.3044,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91635358,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"110710","last_page":"110721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"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/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11095","display_name":"Emergency and Acute Care Studies","score":0.968999981880188,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6238099932670593},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49033164978027344},{"id":"https://openalex.org/keywords/mean-absolute-error","display_name":"Mean absolute error","score":0.4796895682811737},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4774739742279053},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4696238338947296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46090635657310486},{"id":"https://openalex.org/keywords/intensive-care-unit","display_name":"Intensive care unit","score":0.45104551315307617},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4495965242385864},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.41623830795288086},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.39586812257766724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35281193256378174},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3503603935241699},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3277614116668701},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20192798972129822},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.12071457505226135}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6238099932670593},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49033164978027344},{"id":"https://openalex.org/C188154048","wikidata":"https://www.wikidata.org/wiki/Q6803609","display_name":"Mean absolute error","level":3,"score":0.4796895682811737},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4774739742279053},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4696238338947296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46090635657310486},{"id":"https://openalex.org/C2776376669","wikidata":"https://www.wikidata.org/wiki/Q5094647","display_name":"Intensive care unit","level":2,"score":0.45104551315307617},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4495965242385864},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.41623830795288086},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.39586812257766724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35281193256378174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3503603935241699},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3277614116668701},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20192798972129822},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.12071457505226135},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2934166","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2934166","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08793128.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:e0e181050904478f9e0928d0c4dbf3d0","is_oa":true,"landing_page_url":"https://doaj.org/article/e0e181050904478f9e0928d0c4dbf3d0","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 110710-110721 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2934166","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2934166","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08793128.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":[{"id":"https://metadata.un.org/sdg/8","score":0.6499999761581421,"display_name":"Decent work and economic growth"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G167074556","display_name":null,"funder_award_id":"LGF18F010007","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G2122033327","display_name":null,"funder_award_id":"61602417","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2805658232","display_name":null,"funder_award_id":"201533","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3377315688","display_name":null,"funder_award_id":"LGG19F030013","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6721909089","display_name":null,"funder_award_id":"201801","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325436","display_name":"Department of Education of Zhejiang Province","ror":"https://ror.org/05gj07w56"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2967726007.pdf","grobid_xml":"https://content.openalex.org/works/W2967726007.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W105519726","https://openalex.org/W634176875","https://openalex.org/W1197921652","https://openalex.org/W1520144069","https://openalex.org/W1574447377","https://openalex.org/W1979573023","https://openalex.org/W1980692720","https://openalex.org/W1981648877","https://openalex.org/W1983438735","https://openalex.org/W2000566182","https://openalex.org/W2000842688","https://openalex.org/W2024858532","https://openalex.org/W2028458355","https://openalex.org/W2034309307","https://openalex.org/W2036924892","https://openalex.org/W2060073015","https://openalex.org/W2068485031","https://openalex.org/W2071433815","https://openalex.org/W2071637551","https://openalex.org/W2072051993","https://openalex.org/W2075894130","https://openalex.org/W2085940374","https://openalex.org/W2101617851","https://openalex.org/W2102148524","https://openalex.org/W2123162799","https://openalex.org/W2126099034","https://openalex.org/W2128349740","https://openalex.org/W2135046866","https://openalex.org/W2147199908","https://openalex.org/W2153736474","https://openalex.org/W2319794630","https://openalex.org/W2325031208","https://openalex.org/W2329402546","https://openalex.org/W2331454882","https://openalex.org/W2535002850","https://openalex.org/W2782549713","https://openalex.org/W2790454971","https://openalex.org/W2898824759","https://openalex.org/W2910844001","https://openalex.org/W3123140680","https://openalex.org/W4244781008","https://openalex.org/W4247943214","https://openalex.org/W4253736084","https://openalex.org/W4293242440","https://openalex.org/W4313269002","https://openalex.org/W6604324305","https://openalex.org/W6631166512"],"related_works":["https://openalex.org/W4247388746","https://openalex.org/W2314720829","https://openalex.org/W4285794683","https://openalex.org/W3178576217","https://openalex.org/W4221063543","https://openalex.org/W4385195237","https://openalex.org/W4286256617","https://openalex.org/W4405576712","https://openalex.org/W4318676890","https://openalex.org/W121055840"],"abstract_inverted_index":{"Length":[0],"of":[1,19,22,32,47,66,82,118,144,157,186],"stay":[2],"(LoS)":[3],"in":[4,63,208],"the":[5,28,44,52,64,80,115,119,131,158,184,187,193,202],"intensive":[6],"care":[7,23],"unit":[8],"(ICU)":[9],"is":[10,41,161],"a":[11,88],"common":[12],"outcome":[13],"measure":[14],"used":[15],"as":[16],"an":[17],"indicator":[18],"both":[20],"quality":[21],"and":[24,37,39,75,91,102,106,126,142,170,196,210,212],"resource":[25],"use.":[26],"However,":[27],"existing":[29],"analysis":[30,100],"methods":[31,195],"LoS":[33,207],"are":[34,190],"poorly":[35],"interpretable":[36],"extensible,":[38],"there":[40],"controversial":[42],"for":[43,164,168,172,205],"predictive":[45,92,116,155,215],"performance":[46,117,156,185],"LoS.":[48],"In":[49],"this":[50,85,112,199],"paper,":[51],"study":[53,86,113,200],"includes":[54],"data":[55,99],"from":[56],"1,214":[57],"unplanned":[58],"ICU":[59,65,206],"admissions":[60],"to":[61],"participate":[62],"Sichuan":[67],"Provincial":[68],"People\u2019s":[69],"Hospital":[70],"between":[71],"Dec.":[72,76],"11,":[73],"2015":[74],"6,":[77],"2018.":[78],"On":[79],"basis":[81],"these":[83],"data,":[84],"creates":[87],"highly":[89],"accurate":[90],"model":[93,121,160],"using":[94,130],"advanced":[95],"preprocessing":[96],"techniques,":[97],"exploratory":[98],"(EDA)":[101],"least":[103],"absolute":[104,139],"shrinkage":[105],"selection":[107],"operator":[108],"(LASSO)":[109],"algorithm.":[110],"Next,":[111],"evaluates":[114],"proposed":[120,159,188],"by":[122],"10-fold":[123],"cross":[124],"validation":[125,128],"external":[127],"method":[129,189],"root":[132],"mean":[133,138],"square":[134],"prediction":[135],"error":[136,140],"(RMSPE),":[137],"(MAE),":[141],"coefficient":[143],"determination":[145],"(":[146],"<inline-formula":[147,173],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[148,174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[149,175],"<tex-math":[150,176],"notation=\"LaTeX\">$R^{2}$":[151,177],"</tex-math></inline-formula>":[152,178],").":[153],"The":[154],"0.88\u00b10.13":[162],"day":[163,167],"RMSPE,":[165],"0.87\u00b10.07":[166],"MAE":[169],"0.35\u00b10.09":[171],".":[179],"Experimental":[180],"results":[181],"show":[182],"that":[183],"competitive":[191],"with":[192],"state-of-the-art":[194],"results.":[197],"Furthermore,":[198],"explores":[201],"risk":[203],"factors":[204],"survivors":[209],"non-survivors":[211],"compare":[213],"their":[214],"performance.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
