{"id":"https://openalex.org/W3011076252","doi":"https://doi.org/10.1186/s12911-020-1063-x","title":"An evaluation of time series summary statistics as features for clinical prediction tasks","display_name":"An evaluation of time series summary statistics as features for clinical prediction tasks","publication_year":2020,"publication_date":"2020-03-05","ids":{"openalex":"https://openalex.org/W3011076252","doi":"https://doi.org/10.1186/s12911-020-1063-x","mag":"3011076252","pmid":"https://pubmed.ncbi.nlm.nih.gov/32138733"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-020-1063-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-020-1063-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-020-1063-x","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-020-1063-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028839347","display_name":"Chonghui Guo","orcid":"https://orcid.org/0000-0002-5155-1297"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chonghui Guo","raw_affiliation_strings":["Institute of Systems Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116024, People's Republic of China. dlutguo@dlut.edu.cn","Institute of Systems Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116024, People's Republic of China"],"raw_orcid":"https://orcid.org/0000-0002-5155-1297","affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116024, People's Republic of China. dlutguo@dlut.edu.cn","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]},{"raw_affiliation_string":"Institute of Systems Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116024, People's Republic of China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089482981","display_name":"Menglin Lu","orcid":"https://orcid.org/0000-0003-3758-6431"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menglin Lu","raw_affiliation_strings":["Institute of Systems Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116024, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Systems Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116024, People's Republic of China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084302554","display_name":"Jingfeng Chen","orcid":"https://orcid.org/0000-0001-6383-6532"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210156804","display_name":"First Affiliated Hospital of Zhengzhou University","ror":"https://ror.org/056swr059","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210156804"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfeng Chen","raw_affiliation_strings":["Health Management Center, The First Affiliated Hospital of Zhengzhou University, No. 1 Longhu central ring road, Zhengzhou, 450052, People's Republic of China","Institute of Systems Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116024, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Health Management Center, The First Affiliated Hospital of Zhengzhou University, No. 1 Longhu central ring road, Zhengzhou, 450052, People's Republic of China","institution_ids":["https://openalex.org/I4210156804"]},{"raw_affiliation_string":"Institute of Systems Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian, 116024, People's Republic of China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028839347"],"corresponding_institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":4.6923,"has_fulltext":true,"cited_by_count":64,"citation_normalized_percentile":{"value":0.95655784,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"20","issue":"1","first_page":"48","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7386000156402588,"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"}},"topics":[{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.7386000156402588,"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/T10218","display_name":"Sepsis Diagnosis and Treatment","score":0.16869999468326569,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.015599999576807022,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/health-informatics","display_name":"Health informatics","score":0.749290406703949},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6580785512924194},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.591337263584137},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.576349139213562},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42999985814094543},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3910720646381378},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3740542232990265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3018988370895386},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14959710836410522},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.12439289689064026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0966317355632782}],"concepts":[{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.749290406703949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6580785512924194},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.591337263584137},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.576349139213562},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42999985814094543},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3910720646381378},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3740542232990265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3018988370895386},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14959710836410522},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.12439289689064026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0966317355632782},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003422","descriptor_name":"Critical Care","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D003422","descriptor_name":"Critical Care","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D003422","descriptor_name":"Critical Care","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007902","descriptor_name":"Length of Stay","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007902","descriptor_name":"Length of Stay","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007902","descriptor_name":"Length of Stay","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":"D008297","descriptor_name":"Male","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":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009026","descriptor_name":"Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009026","descriptor_name":"Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009026","descriptor_name":"Mortality","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013223","descriptor_name":"Statistics as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013223","descriptor_name":"Statistics as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013223","descriptor_name":"Statistics as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-020-1063-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-020-1063-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-020-1063-x","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:32138733","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32138733","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,"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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:f64a30cf62334af4aec98ab25caf8054","is_oa":true,"landing_page_url":"https://doaj.org/article/f64a30cf62334af4aec98ab25caf8054","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-20 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7059727","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7059727","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-020-1063-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-020-1063-x","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-020-1063-x","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.800000011920929,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G1944402821","display_name":"\u7535\u5b50\u75c5\u5386\u6316\u6398\u4e2d\u7684\u805a\u7c7b\u6a21\u578b\u4e0e\u7b97\u6cd5\u7814\u7a76","funder_award_id":"71771034","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2608832607","display_name":null,"funder_award_id":"2018J11CY009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5820302836","display_name":null,"funder_award_id":"71421001","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3011076252.pdf","grobid_xml":"https://content.openalex.org/works/W3011076252.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W47062518","https://openalex.org/W236448318","https://openalex.org/W1480309621","https://openalex.org/W1516764242","https://openalex.org/W1573973425","https://openalex.org/W1670675025","https://openalex.org/W1898928487","https://openalex.org/W1970936458","https://openalex.org/W2015870870","https://openalex.org/W2020492074","https://openalex.org/W2034309307","https://openalex.org/W2036031516","https://openalex.org/W2052629632","https://openalex.org/W2071153145","https://openalex.org/W2073513898","https://openalex.org/W2083093865","https://openalex.org/W2084445380","https://openalex.org/W2100220027","https://openalex.org/W2125353221","https://openalex.org/W2128349740","https://openalex.org/W2137689619","https://openalex.org/W2141173017","https://openalex.org/W2150765167","https://openalex.org/W2162949830","https://openalex.org/W2208039604","https://openalex.org/W2396881363","https://openalex.org/W2464717612","https://openalex.org/W2512395362","https://openalex.org/W2562568662","https://openalex.org/W2566789236","https://openalex.org/W2604272474","https://openalex.org/W2608309283","https://openalex.org/W2764165920","https://openalex.org/W2774594041","https://openalex.org/W2778170490","https://openalex.org/W2788104422","https://openalex.org/W2806031239","https://openalex.org/W2914416972","https://openalex.org/W2963421326","https://openalex.org/W2971013342","https://openalex.org/W3101973032","https://openalex.org/W3146116728","https://openalex.org/W4205836412","https://openalex.org/W4213163851","https://openalex.org/W4247943214","https://openalex.org/W6725274827"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W4392529072","https://openalex.org/W4394131749","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"BACKGROUND:":[0],"Clinical":[1],"prediction":[2,27,122,161,177,201,208,239,284,324,336],"tasks":[3,240],"such":[4,271],"as":[5,117,272,329],"patient":[6,61,235],"mortality,":[7],"length":[8,281],"of":[9,43,49,92,110,113,128,156,172,183,194,207,216,221,249,282,303],"hospital":[10],"stay,":[11],"and":[12,56,102,168,197,212,237,275,286,296,312,316],"disease":[13,313],"diagnosis":[14],"are":[15,277,307],"highly":[16],"important":[17],"in":[18,234],"critical":[19],"care":[20],"research.":[21,265],"The":[22],"existing":[23],"studies":[24,70],"for":[25,119,262,280,291,310,323],"clinical":[26,121,176],"mainly":[28],"used":[29,170,214,321,328],"simple":[30],"summary":[31,74,111],"statistics":[32,44,58,75,88,112,129,167,173,211,217,230,331],"to":[33,46,59,64,144,332],"summarize":[34,86],"information":[35,290],"from":[36],"physiological":[37,78,93,114,304],"time":[38,79,94,115,305],"series.":[39,80],"However,":[40],"this":[41,83],"lack":[42,48],"leads":[45],"a":[47,140],"information.":[50],"In":[51,82],"addition,":[52],"using":[53,153],"only":[54],"maximum":[55],"minimum":[57],"indicate":[60,268],"features":[62,118],"fails":[63],"provide":[65,260,289],"an":[66,184,246],"adequate":[67],"explanation.":[68],"Few":[69],"have":[71,241],"evaluated":[72],"which":[73],"best":[76,133],"represent":[77],"METHODS:":[81],"paper,":[84],"we":[85,106,138,159,189,226,252],"14":[87],"describing":[89],"the":[90,97,108,126,132,146,154,181,205,222,250,300,334],"characteristics":[91],"series,":[95],"including":[96],"central":[98,232,301],"tendency,":[99,101,270],"dispersion":[100,269],"distribution":[103],"shape.":[104],"Then,":[105],"evaluate":[107],"use":[109,139],"series":[116,306],"three":[120,175],"tasks.":[123,178],"To":[124],"find":[125],"combinations":[127,171,196,215],"that":[130,228,258,267,298],"yield":[131],"performances":[134,206],"under":[135,174],"different":[136,238],"tasks,":[137,285],"cross-validation-based":[141],"genetic":[142,187],"algorithm":[143],"approximate":[145],"optimal":[147,192,223],"statistical":[148,195,224],"combination.":[149],"RESULTS:":[150],"By":[151,203],"experiments":[152],"EHRs":[155],"6,927":[157],"patients,":[158],"obtained":[160,190],"results":[162,182],"based":[163],"on":[164,180],"both":[165],"single":[166,210],"commonly":[169,213],"Based":[179],"embedded":[185],"cross-validation":[186],"algorithm,":[188],"25":[191],"sets":[193],"then":[198],"tested":[199],"their":[200],"results.":[202],"comparing":[204],"with":[209,218],"quantitative":[219],"analyses":[220],"combinations,":[225],"found":[227,253],"some":[229],"play":[231],"roles":[233],"representation":[236],"certain":[242],"commonalities.":[243],"CONCLUSION:":[244],"Through":[245],"in-depth":[247],"analysis":[248],"results,":[251],"many":[254],"practical":[255],"reference":[256],"points":[257],"can":[259,326],"guidance":[261],"subsequent":[263],"related":[264],"Statistics":[266],"min,":[273],"max,":[274],"range,":[276],"more":[278,308],"suitable":[279,309],"stay":[283],"they":[287],"also":[288],"short-term":[292],"mortality":[293,311],"prediction.":[294,314],"Mean":[295],"quantiles":[297],"reflect":[299],"tendency":[302],"Skewness":[315],"kurtosis":[317],"perform":[318],"poorly":[319],"when":[320],"separately":[322],"but":[325],"be":[327],"supplementary":[330],"improve":[333],"overall":[335],"effect.":[337]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":4}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}