{"id":"https://openalex.org/W2790835142","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302287","title":"Prediction of days in hospital for children using random forest","display_name":"Prediction of days in hospital for children using random forest","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2790835142","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302287","mag":"2790835142"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100329692","display_name":"Chenguang Wang","orcid":"https://orcid.org/0000-0002-7896-2360"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenguang Wang","raw_affiliation_strings":["Mathematical Sciences, Xi'an Liaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Mathematical Sciences, Xi'an Liaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000450367","display_name":"Xueling Dong","orcid":"https://orcid.org/0000-0001-8491-0332"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueling Dong","raw_affiliation_strings":["Mathematical Sciences, Xi'an Liaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Mathematical Sciences, Xi'an Liaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032994993","display_name":"Limin Yu","orcid":"https://orcid.org/0000-0002-6891-0604"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Yu","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015651772","display_name":"Lishan Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I4210124907","display_name":"Zhongshan Hospital of Xiamen University","ror":"https://ror.org/02z125451","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lishan Ye","raw_affiliation_strings":["Information Department, Zhongshan Hospital of Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"Information Department, Zhongshan Hospital of Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I4210124907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038787937","display_name":"Weifen Zhuang","orcid":"https://orcid.org/0000-0003-1072-2341"},"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":"Weifen Zhuang","raw_affiliation_strings":["School of Management, Xiamen University, Xiamen, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062318925","display_name":"Fei Ma","orcid":"https://orcid.org/0000-0001-6099-480X"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ma","raw_affiliation_strings":["Mathematical Sciences, Xi'an Liaotong-Liverpool University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Mathematical Sciences, Xi'an Liaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100329692"],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.66228036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9616000056266785,"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":0.9616000056266785,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9588000178337097,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13248","display_name":"Healthcare Technology and Patient Monitoring","score":0.9473000168800354,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.8626244068145752},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.6134235858917236},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5646899938583374},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5372052192687988},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5177899599075317},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.4709376394748688},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.465972900390625},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4417816698551178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43727946281433105},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.41643762588500977},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40489575266838074},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34483760595321655},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3116222321987152},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11928495764732361}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.8626244068145752},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.6134235858917236},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5646899938583374},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5372052192687988},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5177899599075317},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.4709376394748688},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.465972900390625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4417816698551178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43727946281433105},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.41643762588500977},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40489575266838074},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34483760595321655},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3116222321987152},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11928495764732361},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302287","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302287","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W582512239","https://openalex.org/W1837982953","https://openalex.org/W1979714250","https://openalex.org/W2024982240","https://openalex.org/W2037196673","https://openalex.org/W2062971761","https://openalex.org/W2102344329","https://openalex.org/W2125449110","https://openalex.org/W2143951231","https://openalex.org/W2293342966","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W4212883601","https://openalex.org/W6656548752"],"related_works":["https://openalex.org/W2789583223","https://openalex.org/W3011239835","https://openalex.org/W4312534362","https://openalex.org/W3185760728","https://openalex.org/W2915047625","https://openalex.org/W4363647452","https://openalex.org/W4225124612","https://openalex.org/W2043806667","https://openalex.org/W1999699871","https://openalex.org/W2786391746"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"a":[3,23,31,39,122,127,142],"method":[4,81,112,160],"was":[5,35,53,68,171],"developed":[6,159],"to":[7,37,41,58,73,136,179,189,200,205],"predict":[8,42],"the":[9,43,60,65,75,78,107,155,158,162,180,190,196,206],"number":[10],"of":[11,14,49,120,157,182,186,192,211],"hospitalization":[12],"days":[13,44,138,150,168],"infant":[15],"patients.":[16],"The":[17],"random":[18,61,79],"forest":[19,62,80],"algorithm,":[20],"along":[21],"with":[22,86,124,129,144],"data":[24],"set":[25,57,72,198],"consisted":[26],"by":[27,110],"records":[28,52,130,145],"extracted":[29],"from":[30],"hospital":[32,170],"information":[33,202],"system,":[34],"utilized":[36],"develop":[38],"model":[40],"in":[45,139,151,169],"hospital.":[46],"When":[47],"half":[48,67],"randomly":[50],"selected":[51],"used":[54,69],"as":[55,70],"training":[56],"train":[59],"algorithm":[63],"and":[64,99,113,141],"other":[66,176,209],"testing":[71],"test":[74],"trained":[76],"model,":[77],"achieved":[82],"good":[83],"predictive":[84],"accuracy":[85,191],"RMSE":[87],"being":[88,94,97,101],"0.314,":[89],"R":[90],"<sup":[91],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[92],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[93],"0.706,":[95],"|R|":[96],"0.545,":[98],"Acc\u00b11":[100],"71%,":[102],"which":[103],"is":[104],"better":[105,172],"than":[106,133,148,166,173,208],"results":[108],"obtained":[109],"Adaboost":[111],"Bagging":[114],"method.":[115],"Experiment":[116],"on":[117,161,175],"three":[118,183],"subgroups":[119],"records:":[121],"group":[123,128,143,163],"all":[125],"data,":[126],"having":[131,146,164],"less":[132],"or":[134],"equal":[135],"14":[137,149,167],"hospital,":[140,152],"greater":[147],"shows":[153],"that":[154,195],"prediction":[156,193,207],"more":[165,204],"predictions":[174],"groups.":[177],"Analysis":[178],"importance":[181],"different":[184],"types":[185,210],"feature":[187,197],"sets":[188],"reveals":[194],"relating":[199],"personal":[201],"contribute":[203],"features.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}