{"id":"https://openalex.org/W3125700472","doi":"https://doi.org/10.1109/jbhi.2021.3054592","title":"Machine Learning Models for Classification of Cushing's Syndrome Using Retrospective Data","display_name":"Machine Learning Models for Classification of Cushing's Syndrome Using Retrospective Data","publication_year":2021,"publication_date":"2021-01-29","ids":{"openalex":"https://openalex.org/W3125700472","doi":"https://doi.org/10.1109/jbhi.2021.3054592","mag":"3125700472","pmid":"https://pubmed.ncbi.nlm.nih.gov/33513119"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3054592","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3054592","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/9508208/09340541.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6221020/9508208/09340541.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006921251","display_name":"Senol Isci","orcid":"https://orcid.org/0000-0001-5497-700X"},"institutions":[{"id":"https://openalex.org/I4210141511","display_name":"TUBITAK BILGEM","ror":"https://ror.org/057kvja37","country_code":"TR","type":"government","lineage":["https://openalex.org/I4210141511"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Senol Isci","raw_affiliation_strings":["TUBITAK BILGEM Informatics, and Information Security Research Center, Kocaeli, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-5497-700X","affiliations":[{"raw_affiliation_string":"TUBITAK BILGEM Informatics, and Information Security Research Center, Kocaeli, Turkey","institution_ids":["https://openalex.org/I4210141511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027481958","display_name":"Derya Sema Yaman Kalender","orcid":null},"institutions":[{"id":"https://openalex.org/I250383648","display_name":"Izmir K\u00e2tip \u00c7elebi University","ror":"https://ror.org/024nx4843","country_code":"TR","type":"education","lineage":["https://openalex.org/I250383648"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Derya Sema Yaman Kalender","raw_affiliation_strings":["Department of Endocrinology, Faculty of Medicine, Izmir Katip Celebi University, Izmir, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Endocrinology, Faculty of Medicine, Izmir Katip Celebi University, Izmir, Turkey","institution_ids":["https://openalex.org/I250383648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037250165","display_name":"F\u0131rat Bayraktar","orcid":"https://orcid.org/0000-0001-7800-2530"},"institutions":[{"id":"https://openalex.org/I193615760","display_name":"Dokuz Eyl\u00fcl University","ror":"https://ror.org/00dbd8b73","country_code":"TR","type":"education","lineage":["https://openalex.org/I193615760"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Firat Bayraktar","raw_affiliation_strings":["Division of Endocrinology and Metabolism, Department of Internal Medicine, Dokuz Eylul University Medical School, Izmir, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Endocrinology and Metabolism, Department of Internal Medicine, Dokuz Eylul University Medical School, Izmir, Turkey","institution_ids":["https://openalex.org/I193615760"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019279223","display_name":"Alper Yaman","orcid":"https://orcid.org/0000-0003-1767-4020"},"institutions":[{"id":"https://openalex.org/I3018473509","display_name":"Fraunhofer Institute for Manufacturing Engineering and Automation","ror":"https://ror.org/01rvqha10","country_code":"DE","type":"facility","lineage":["https://openalex.org/I3018473509","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alper Yaman","raw_affiliation_strings":["Department of Biomechatronic Systems, Fraunhofer Institute for Manufacturing Engineering, and Automation IPA Nobelstr. 12, Stuttgart, Germany"],"raw_orcid":"https://orcid.org/0000-0003-1767-4020","affiliations":[{"raw_affiliation_string":"Department of Biomechatronic Systems, Fraunhofer Institute for Manufacturing Engineering, and Automation IPA Nobelstr. 12, Stuttgart, Germany","institution_ids":["https://openalex.org/I3018473509"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5006921251"],"corresponding_institution_ids":["https://openalex.org/I4210141511"],"apc_list":null,"apc_paid":null,"fwci":1.9094,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86379017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"25","issue":"8","first_page":"3153","last_page":"3162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10832","display_name":"Pituitary Gland Disorders and Treatments","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10832","display_name":"Pituitary Gland Disorders and Treatments","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14364","display_name":"Clusterin in disease pathology","score":0.9114999771118164,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7980948686599731},{"id":"https://openalex.org/keywords/multiclass-classification","display_name":"Multiclass classification","score":0.7274656295776367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6872220039367676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.640439510345459},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5528061389923096},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5456786751747131},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5133253931999207},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.49012598395347595},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.48548606038093567},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4558791220188141},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4215776324272156},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3493896424770355},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.24972283840179443},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20664158463478088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19744223356246948},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.10002419352531433}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7980948686599731},{"id":"https://openalex.org/C123860398","wikidata":"https://www.wikidata.org/wiki/Q6934605","display_name":"Multiclass classification","level":3,"score":0.7274656295776367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6872220039367676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.640439510345459},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5528061389923096},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5456786751747131},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5133253931999207},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.49012598395347595},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.48548606038093567},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4558791220188141},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4215776324272156},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3493896424770355},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.24972283840179443},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20664158463478088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19744223356246948},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.10002419352531433},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":false},{"descriptor_ui":"D003480","descriptor_name":"Cushing Syndrome","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003480","descriptor_name":"Cushing Syndrome","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D003480","descriptor_name":"Cushing Syndrome","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"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":"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":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/jbhi.2021.3054592","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3054592","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/9508208/09340541.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:33513119","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33513119","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":"IEEE journal of biomedical and health informatics","raw_type":null},{"id":"pmh:oai:fraunhofer.de:N-633287","is_oa":true,"landing_page_url":"http://publica.fraunhofer.de/documents/N-633287.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer IPA","raw_type":"Journal Article"},{"id":"pmh:oai:null:publica/266497","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/266497","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1109/jbhi.2021.3054592","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3054592","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/9508208/09340541.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3125700472.pdf","grobid_xml":"https://content.openalex.org/works/W3125700472.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W64897161","https://openalex.org/W1594031697","https://openalex.org/W1602443498","https://openalex.org/W1968969471","https://openalex.org/W1977009629","https://openalex.org/W1985258161","https://openalex.org/W1995056942","https://openalex.org/W2023012421","https://openalex.org/W2048821512","https://openalex.org/W2060380261","https://openalex.org/W2066226091","https://openalex.org/W2070493638","https://openalex.org/W2101234009","https://openalex.org/W2105695548","https://openalex.org/W2107664913","https://openalex.org/W2111741784","https://openalex.org/W2112076978","https://openalex.org/W2119842919","https://openalex.org/W2121000229","https://openalex.org/W2123166816","https://openalex.org/W2137579450","https://openalex.org/W2141007997","https://openalex.org/W2148143831","https://openalex.org/W2158086718","https://openalex.org/W2169178923","https://openalex.org/W2330820318","https://openalex.org/W2510090379","https://openalex.org/W2531264786","https://openalex.org/W2802492546","https://openalex.org/W2885496747","https://openalex.org/W2909282283","https://openalex.org/W2911964244","https://openalex.org/W2915312288","https://openalex.org/W2963030430","https://openalex.org/W2996480032","https://openalex.org/W3030177322","https://openalex.org/W3031638321","https://openalex.org/W3111630834","https://openalex.org/W4239510810","https://openalex.org/W4301048075","https://openalex.org/W6602621560","https://openalex.org/W6675354045","https://openalex.org/W6676769703","https://openalex.org/W6684773713","https://openalex.org/W6787423496"],"related_works":["https://openalex.org/W4376528628","https://openalex.org/W2924823884","https://openalex.org/W1537592868","https://openalex.org/W2470590370","https://openalex.org/W3011239835","https://openalex.org/W3207192536","https://openalex.org/W4401361218","https://openalex.org/W2910954186","https://openalex.org/W4200234001","https://openalex.org/W3172103400"],"abstract_inverted_index":{"Accurate":[0],"classification":[1,140,179,203],"of":[2,17,28,40,50,59,74,102,141,156,163,183,186,190,210,216,223,229],"Cushing's":[3],"Syndrome":[4],"(CS)":[5],"plays":[6],"a":[7,31,56,85],"critical":[8],"role":[9],"in":[10,248],"providing":[11],"the":[12,72,75,97,139,146,167,198,232,240],"early":[13],"and":[14,23,37,42,48,61,92,100,111,121,158,171,188,218],"correct":[15,65],"diagnosis":[16],"CS":[18,29,94,151,194,230],"that":[19,130,145,239],"may":[20],"facilitate":[21,96],"treatment":[22,101],"improve":[24,245],"patient":[25],"outcomes.":[26],"Diagnosis":[27],"is":[30,135],"complex":[32],"process,":[33],"which":[34],"requires":[35],"careful":[36],"concurrent":[38],"interpretation":[39],"signs":[41],"symptoms,":[43],"multiple":[44],"biochemical":[45],"test":[46,199,233],"results,":[47],"findings":[49,128],"medical":[51],"imaging":[52],"by":[53],"physicians":[54],"with":[55,152],"high":[57],"degree":[58],"specialty":[60],"knowledge":[62],"to":[63,80,90,95,192,225],"make":[64],"judgments.":[66],"In":[67],"this":[68],"article,":[69],"we":[70],"explore":[71],"state":[73],"art":[76],"machine":[77],"learning":[78],"algorithms":[79,105],"demonstrate":[81,144],"their":[82],"potential":[83],"as":[84],"clinical":[86],"decision":[87],"support":[88],"system":[89],"analyze":[91],"classify":[93,150,226],"diagnosis,":[98],"prognosis,":[99],"CS.":[103,142,250],"Prominent":[104],"are":[106],"compared":[107],"using":[108],"nested":[109],"cross-validation":[110],"various":[112],"class":[113,168,208,214,221],"comparison":[114,169],"strategies":[115],"including":[116],"multiclass,":[117],"one":[118,122,124,175],"vs.":[119,123,176],"all,":[120],"binary":[125,178],"classification.":[126],"Our":[127],"show":[129],"Random":[131],"Forest":[132],"(RF)":[133],"algorithm":[134],"most":[136],"suitable":[137],"for":[138],"We":[143],"proposed":[147],"approach":[148],"can":[149,243],"an":[153,159],"average":[154,160,206,212,219],"accuracy":[155],"92%":[157],"F1":[161],"score":[162],"91.5%,":[164],"depending":[165],"on":[166,197,231],"strategy":[170],"selected":[172],"features.":[173],"RF-based":[174,201],"all":[177],"model":[180,204],"achieves":[181,205],"sensitivity":[182,209],"97.6%,":[184],"precision":[185,222],"91.1%,":[187],"specificity":[189,215],"87.1%":[191],"discriminate":[193],"from":[195],"non-CS":[196],"dataset.":[200,234],"multiclass":[202],"per":[207,213,220],"91.8%,":[211],"97.1%,":[217],"92.1%":[224],"different":[227],"subtypes":[228],"Clinical":[235],"performance":[236],"evaluation":[237],"suggests":[238],"developed":[241],"models":[242],"help":[244],"physicians'":[246],"judgment":[247],"diagnosing":[249]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}