{"id":"https://openalex.org/W2899736686","doi":"https://doi.org/10.3390/e20110853","title":"Model Selection for Body Temperature Signal Classification Using Both Amplitude and Ordinality-Based Entropy Measures","display_name":"Model Selection for Body Temperature Signal Classification Using Both Amplitude and Ordinality-Based Entropy Measures","publication_year":2018,"publication_date":"2018-11-06","ids":{"openalex":"https://openalex.org/W2899736686","doi":"https://doi.org/10.3390/e20110853","mag":"2899736686","pmid":"https://pubmed.ncbi.nlm.nih.gov/33266577"},"language":"en","primary_location":{"id":"doi:10.3390/e20110853","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20110853","pdf_url":"https://www.mdpi.com/1099-4300/20/11/853/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/20/11/853/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083596385","display_name":"David Cuesta\u2013Frau","orcid":"https://orcid.org/0000-0002-0076-0515"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"David Cuesta-Frau","raw_affiliation_strings":["Technological Institute of Informatics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoi Campus, Spain"],"raw_orcid":"https://orcid.org/0000-0002-0076-0515","affiliations":[{"raw_affiliation_string":"Technological Institute of Informatics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoi Campus, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038255706","display_name":"Pau Mir\u00f3\u2013Mart\u00ednez","orcid":"https://orcid.org/0000-0001-9573-9104"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Pau Mir\u00f3-Mart\u00ednez","raw_affiliation_strings":["Department of Statistics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoi Campus, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoi Campus, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025245409","display_name":"Sandra Oltra\u2013Crespo","orcid":"https://orcid.org/0000-0003-1995-2557"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Sandra Oltra-Crespo","raw_affiliation_strings":["Technological Institute of Informatics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoi Campus, Spain"],"raw_orcid":"https://orcid.org/0000-0003-1995-2557","affiliations":[{"raw_affiliation_string":"Technological Institute of Informatics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoi Campus, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033107862","display_name":"Jorge Jord\u00e1n-N\u00fa\u00f1ez","orcid":"https://orcid.org/0000-0001-8178-9987"},"institutions":[{"id":"https://openalex.org/I60053951","display_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","ror":"https://ror.org/01460j859","country_code":"ES","type":"education","lineage":["https://openalex.org/I60053951"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge Jord\u00e1n-N\u00fa\u00f1ez","raw_affiliation_strings":["Department of Statistics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoi Campus, Spain"],"raw_orcid":"https://orcid.org/0000-0001-8178-9987","affiliations":[{"raw_affiliation_string":"Department of Statistics, Universitat Polit\u00e8cnica de Val\u00e8ncia, 03801 Alcoi Campus, Spain","institution_ids":["https://openalex.org/I60053951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049629307","display_name":"Borja Vargas","orcid":"https://orcid.org/0000-0002-5553-8372"},"institutions":[{"id":"https://openalex.org/I4210155931","display_name":"Hospital Universitario de M\u00f3stoles","ror":"https://ror.org/04tqrbk66","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210139293","https://openalex.org/I4210155931"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Borja Vargas","raw_affiliation_strings":["Internal Medicine Department, Teaching Hospital of M\u00f3stoles, 28935 Madrid, Spain"],"raw_orcid":"https://orcid.org/0000-0002-5553-8372","affiliations":[{"raw_affiliation_string":"Internal Medicine Department, Teaching Hospital of M\u00f3stoles, 28935 Madrid, Spain","institution_ids":["https://openalex.org/I4210155931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101502509","display_name":"Paula Gonz\u00e1lez","orcid":"https://orcid.org/0000-0001-6523-8704"},"institutions":[{"id":"https://openalex.org/I4210155931","display_name":"Hospital Universitario de M\u00f3stoles","ror":"https://ror.org/04tqrbk66","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210139293","https://openalex.org/I4210155931"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Paula Gonz\u00e1lez","raw_affiliation_strings":["Internal Medicine Department, Teaching Hospital of M\u00f3stoles, 28935 Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Internal Medicine Department, Teaching Hospital of M\u00f3stoles, 28935 Madrid, Spain","institution_ids":["https://openalex.org/I4210155931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080981847","display_name":"M. Varela-Entrecanales","orcid":"https://orcid.org/0000-0003-3800-4659"},"institutions":[{"id":"https://openalex.org/I4210155931","display_name":"Hospital Universitario de M\u00f3stoles","ror":"https://ror.org/04tqrbk66","country_code":"ES","type":"healthcare","lineage":["https://openalex.org/I4210139293","https://openalex.org/I4210155931"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Manuel Varela-Entrecanales","raw_affiliation_strings":["Internal Medicine Department, Teaching Hospital of M\u00f3stoles, 28935 Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Internal Medicine Department, Teaching Hospital of M\u00f3stoles, 28935 Madrid, Spain","institution_ids":["https://openalex.org/I4210155931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083596385"],"corresponding_institution_ids":["https://openalex.org/I60053951"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":0.9217,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.71606399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"20","issue":"11","first_page":"853","last_page":"853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9921000003814697,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9908999800682068,"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":0.9865000247955322,"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/sample-entropy","display_name":"Sample entropy","score":0.8567259311676025},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.7962313890457153},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6038063764572144},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5423470735549927},{"id":"https://openalex.org/keywords/uncorrelated","display_name":"Uncorrelated","score":0.4943580627441406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.47496387362480164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4631364643573761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4613926410675049},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.45456603169441223},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37223953008651733},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09517073631286621}],"concepts":[{"id":"https://openalex.org/C66696666","wikidata":"https://www.wikidata.org/wiki/Q17105612","display_name":"Sample entropy","level":3,"score":0.8567259311676025},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.7962313890457153},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6038063764572144},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5423470735549927},{"id":"https://openalex.org/C169345407","wikidata":"https://www.wikidata.org/wiki/Q8216221","display_name":"Uncorrelated","level":2,"score":0.4943580627441406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47496387362480164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4631364643573761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4613926410675049},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.45456603169441223},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37223953008651733},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09517073631286621},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/e20110853","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20110853","pdf_url":"https://www.mdpi.com/1099-4300/20/11/853/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:33266577","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33266577","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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:37767fac16b6472894abc2eff9a03f85","is_oa":true,"landing_page_url":"https://doaj.org/article/37767fac16b6472894abc2eff9a03f85","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":"Entropy, Vol 20, Iss 11, p 853 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/20/11/853/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/e20110853","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Entropy","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7512415","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7512415","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":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:riunet.upv.es:10251/135622","is_oa":true,"landing_page_url":"http://hdl.handle.net/10251/135622","pdf_url":null,"source":{"id":"https://openalex.org/S4306401646","display_name":"Repositorio Institucional de la Universitat Polit\u00e8cnica (Universitat Polit\u00e8cnica de Val\u00e8ncia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60053951","host_organization_name":"Universitat Polit\u00e8cnica de Val\u00e8ncia","host_organization_lineage":["https://openalex.org/I60053951"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/e20110853","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e20110853","pdf_url":"https://www.mdpi.com/1099-4300/20/11/853/pdf","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2899736686.pdf"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W1602160603","https://openalex.org/W1766242801","https://openalex.org/W1789016606","https://openalex.org/W1862394037","https://openalex.org/W1915515468","https://openalex.org/W1986488785","https://openalex.org/W1986832415","https://openalex.org/W2014683958","https://openalex.org/W2042103537","https://openalex.org/W2049300865","https://openalex.org/W2053744708","https://openalex.org/W2065919594","https://openalex.org/W2075415616","https://openalex.org/W2077204677","https://openalex.org/W2081700482","https://openalex.org/W2087958798","https://openalex.org/W2104276354","https://openalex.org/W2118183148","https://openalex.org/W2123162799","https://openalex.org/W2140005438","https://openalex.org/W2142635246","https://openalex.org/W2143841384","https://openalex.org/W2145126338","https://openalex.org/W2166218246","https://openalex.org/W2167723706","https://openalex.org/W2203714058","https://openalex.org/W2280719928","https://openalex.org/W2291398256","https://openalex.org/W2300827476","https://openalex.org/W2320007293","https://openalex.org/W2328914507","https://openalex.org/W2341579923","https://openalex.org/W2411392661","https://openalex.org/W2526020668","https://openalex.org/W2529198192","https://openalex.org/W2586297834","https://openalex.org/W2602035813","https://openalex.org/W2602622360","https://openalex.org/W2613861179","https://openalex.org/W2620806708","https://openalex.org/W2623255916","https://openalex.org/W2747812981","https://openalex.org/W2759373267","https://openalex.org/W2769168426","https://openalex.org/W2787218634","https://openalex.org/W2874094983","https://openalex.org/W2883332371","https://openalex.org/W2885415588","https://openalex.org/W3121203127","https://openalex.org/W3123421154","https://openalex.org/W4298872162","https://openalex.org/W6684629587","https://openalex.org/W6697769560","https://openalex.org/W6728072562","https://openalex.org/W6738805318","https://openalex.org/W6748313947","https://openalex.org/W6753645315"],"related_works":["https://openalex.org/W2093589470","https://openalex.org/W2415751681","https://openalex.org/W1862394037","https://openalex.org/W2889925888","https://openalex.org/W3121271574","https://openalex.org/W2084594947","https://openalex.org/W4205160129","https://openalex.org/W2076258781","https://openalex.org/W2099197004","https://openalex.org/W2890995276"],"abstract_inverted_index":{"Many":[0],"entropy-related":[1],"methods":[2,83],"for":[3,32,141],"signal":[4,59],"classification":[5,60,148,169],"have":[6],"been":[7],"proposed":[8],"and":[9,27,45,92,106,178],"exploited":[10],"successfully":[11],"in":[12,62,156,161],"the":[13,24,28,49,58,77,126,168],"last":[14],"several":[15],"decades.":[16],"However,":[17],"it":[18],"is":[19,98],"sometimes":[20],"difficult":[21],"to":[22,56,173],"find":[23],"optimal":[25,29],"measure":[26],"parameter":[30],"configuration":[31],"a":[33,117,147,153,181],"specific":[34],"purpose":[35],"or":[36,159],"context.":[37],"Suboptimal":[38],"settings":[39],"may":[40],"therefore":[41],"produce":[42],"subpar":[43],"results":[44,165],"not":[46,145],"even":[47,160],"reach":[48],"desired":[50],"level":[51],"of":[52,119,129,131,137],"significance.":[53],"In":[54],"order":[55],"increase":[57],"accuracy":[61,149,170],"these":[63],"suboptimal":[64],"situations,":[65],"this":[66,157],"paper":[67],"proposes":[68],"statistical":[69],"models":[70],"created":[71],"with":[72,121,152,180],"uncorrelated":[73],"measures":[74],"that":[75,116,167],"exploit":[76],"possible":[78],"synergies":[79],"between":[80],"them.":[81,132],"The":[82,133,164],"employed":[84],"are":[85,108],"permutation":[86],"entropy":[87,90,94],"(PE),":[88],"approximate":[89],"(ApEn),":[91],"sample":[93],"(SampEn).":[95],"Since":[96],"PE":[97,120,177],"based":[99,109],"on":[100,110],"subpattern":[101,111],"ordinal":[102],"differences,":[103,113],"whereas":[104],"ApEn":[105,179],"SampEn":[107],"amplitude":[112],"we":[114,143],"hypothesized":[115],"combination":[118],"another":[122],"method":[123],"would":[124],"enhance":[125],"individual":[127],"performance":[128],"any":[130],"dataset":[134],"was":[135],"composed":[136],"body":[138],"temperature":[139],"records,":[140],"which":[142],"did":[144],"obtain":[146],"above":[150],"80%":[151],"single":[154],"measure,":[155],"study":[158],"previous":[162],"studies.":[163],"confirmed":[166],"rose":[171],"up":[172],"90%":[174],"when":[175],"combining":[176],"logistic":[182],"model.":[183]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":6}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}