{"id":"https://openalex.org/W4294762684","doi":"https://doi.org/10.1186/s12911-022-01980-w","title":"Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia","display_name":"Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia","publication_year":2022,"publication_date":"2022-09-06","ids":{"openalex":"https://openalex.org/W4294762684","doi":"https://doi.org/10.1186/s12911-022-01980-w","pmid":"https://pubmed.ncbi.nlm.nih.gov/36068539"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-022-01980-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01980-w","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-01980-w","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/counter/pdf/10.1186/s12911-022-01980-w","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057216235","display_name":"Mostafa Shanbehzadeh","orcid":"https://orcid.org/0000-0002-3419-1947"},"institutions":[{"id":"https://openalex.org/I3017965041","display_name":"Medical University of Ilam","ror":"https://ror.org/042hptv04","country_code":"IR","type":"education","lineage":["https://openalex.org/I3017965041"]},{"id":"https://openalex.org/I4210116604","display_name":"Ilam University","ror":"https://ror.org/01r277z15","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210116604"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mostafa Shanbehzadeh","raw_affiliation_strings":["Department of Health Information Technology, Faculty of Paramedical, Ilam University of Medical Sciences, Ilam, Iran"],"raw_orcid":"https://orcid.org/0000-0002-3419-1947","affiliations":[{"raw_affiliation_string":"Department of Health Information Technology, Faculty of Paramedical, Ilam University of Medical Sciences, Ilam, Iran","institution_ids":["https://openalex.org/I4210116604","https://openalex.org/I3017965041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080382548","display_name":"Mohammad Reza Afrash","orcid":"https://orcid.org/0000-0001-9571-2112"},"institutions":[{"id":"https://openalex.org/I58048189","display_name":"Shahid Beheshti University of Medical Sciences","ror":"https://ror.org/034m2b326","country_code":"IR","type":"education","lineage":["https://openalex.org/I58048189"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Reza Afrash","raw_affiliation_strings":["Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0001-9571-2112","affiliations":[{"raw_affiliation_string":"Department of Health Information Technology and Management, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I58048189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082147207","display_name":"Nader Mirani","orcid":"https://orcid.org/0000-0001-9198-0507"},"institutions":[{"id":"https://openalex.org/I116768543","display_name":"Zanjan University of Medical Sciences","ror":"https://ror.org/01xf7jb19","country_code":"IR","type":"education","lineage":["https://openalex.org/I116768543"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Nader Mirani","raw_affiliation_strings":["Department of Treatment, Head of the Medical Truism, Zanjan University of Medical Sciences, Zanjan, Iran"],"raw_orcid":"https://orcid.org/0000-0001-9198-0507","affiliations":[{"raw_affiliation_string":"Department of Treatment, Head of the Medical Truism, Zanjan University of Medical Sciences, Zanjan, Iran","institution_ids":["https://openalex.org/I116768543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040423334","display_name":"Hadi Kazemi-Arpanahi","orcid":"https://orcid.org/0000-0002-8882-5765"},"institutions":[{"id":"https://openalex.org/I112312016","display_name":"Hamedan University of Medical Sciences","ror":"https://ror.org/02ekfbp48","country_code":"IR","type":"education","lineage":["https://openalex.org/I112312016"]},{"id":"https://openalex.org/I181631907","display_name":"University of Ibadan","ror":"https://ror.org/03wx2rr30","country_code":"NG","type":"education","lineage":["https://openalex.org/I181631907"]}],"countries":["IR","NG"],"is_corresponding":true,"raw_author_name":"Hadi Kazemi-Arpanahi","raw_affiliation_strings":["Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran. H.kazemi@abadanums.ac.ir","Department of Student Research Committee, Abadan University of Medical Sciences, Abadan, Iran. H.kazemi@abadanums.ac.ir","Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran"],"raw_orcid":"https://orcid.org/0000-0002-8882-5765","affiliations":[{"raw_affiliation_string":"Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran. H.kazemi@abadanums.ac.ir","institution_ids":["https://openalex.org/I181631907"]},{"raw_affiliation_string":"Department of Student Research Committee, Abadan University of Medical Sciences, Abadan, Iran. H.kazemi@abadanums.ac.ir","institution_ids":["https://openalex.org/I181631907","https://openalex.org/I112312016"]},{"raw_affiliation_string":"Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040423334"],"corresponding_institution_ids":["https://openalex.org/I112312016","https://openalex.org/I181631907"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":3.8368,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.94764646,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"236","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11215","display_name":"Chronic Myeloid Leukemia Treatments","score":0.7879999876022339,"subfield":{"id":"https://openalex.org/subfields/2720","display_name":"Hematology"},"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/T11215","display_name":"Chronic Myeloid Leukemia Treatments","score":0.7879999876022339,"subfield":{"id":"https://openalex.org/subfields/2720","display_name":"Hematology"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.03180000185966492,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.005200000014156103,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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/machine-learning","display_name":"Machine learning","score":0.5912245512008667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5845345258712769},{"id":"https://openalex.org/keywords/myeloid-leukemia","display_name":"Myeloid leukemia","score":0.5835171937942505},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5685086846351624},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5267250537872314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49745848774909973},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4690941572189331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44305604696273804},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4124522805213928},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3284779191017151},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3140575587749481}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5912245512008667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5845345258712769},{"id":"https://openalex.org/C2778729363","wikidata":"https://www.wikidata.org/wiki/Q11688946","display_name":"Myeloid leukemia","level":2,"score":0.5835171937942505},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5685086846351624},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5267250537872314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49745848774909973},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4690941572189331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44305604696273804},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4124522805213928},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3284779191017151},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3140575587749481}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":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":"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":"D006801","descriptor_name":"Humans","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},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015464","descriptor_name":"Leukemia, Myelogenous, Chronic, BCR-ABL Positive","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D015464","descriptor_name":"Leukemia, Myelogenous, Chronic, BCR-ABL Positive","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D015464","descriptor_name":"Leukemia, Myelogenous, Chronic, BCR-ABL Positive","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D015464","descriptor_name":"Leukemia, Myelogenous, Chronic, BCR-ABL Positive","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12911-022-01980-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01980-w","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-01980-w","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:36068539","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36068539","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:967064ce4de64139bd28ee04b546a4ca","is_oa":true,"landing_page_url":"https://doaj.org/article/967064ce4de64139bd28ee04b546a4ca","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 22, Iss 1, Pp 1-13 (2022)","raw_type":"article"},{"id":"pmh:oai:eprints.medilam.ac.ir:4021","is_oa":false,"landing_page_url":"http://eprints.medilam.ac.ir/4021/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400609","display_name":"Research Repository Portal (Ilam University of Medical Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I3017965041","host_organization_name":"Medical University of Ilam","host_organization_lineage":["https://openalex.org/I3017965041"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9450320","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9450320","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/s12911-022-01980-w","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-022-01980-w","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-022-01980-w","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294762684.pdf","grobid_xml":"https://content.openalex.org/works/W4294762684.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1990256102","https://openalex.org/W2069388901","https://openalex.org/W2551523150","https://openalex.org/W2568702864","https://openalex.org/W2757722543","https://openalex.org/W2883267003","https://openalex.org/W2900530244","https://openalex.org/W2900644497","https://openalex.org/W2902433159","https://openalex.org/W2903731328","https://openalex.org/W2910419527","https://openalex.org/W2913200173","https://openalex.org/W2945763838","https://openalex.org/W2975733352","https://openalex.org/W2980063799","https://openalex.org/W2984004478","https://openalex.org/W2990594783","https://openalex.org/W3010336318","https://openalex.org/W3018628098","https://openalex.org/W3032612410","https://openalex.org/W3095661798","https://openalex.org/W3098670474","https://openalex.org/W3117063516","https://openalex.org/W3119940386","https://openalex.org/W3120957348","https://openalex.org/W3126315843","https://openalex.org/W3145851538","https://openalex.org/W3153167161","https://openalex.org/W3176095772","https://openalex.org/W3176543501","https://openalex.org/W3185120262","https://openalex.org/W3188502243","https://openalex.org/W3209819173","https://openalex.org/W3213766564","https://openalex.org/W4210632294","https://openalex.org/W4226183783","https://openalex.org/W4283011365"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W1948992892","https://openalex.org/W2104657898","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W3158157485","https://openalex.org/W2243550366","https://openalex.org/W3000407446","https://openalex.org/W2103550798"],"abstract_inverted_index":{"INTRODUCTION:":[0],"Chronic":[1],"myeloid":[2],"leukemia":[3],"(CML)":[4],"is":[5,325],"a":[6,38],"myeloproliferative":[7],"disorder":[8],"resulting":[9],"from":[10],"the":[11,112,172,175,178,202,217,224,228,237,264,270,273,302,317,337],"translocation":[12],"of":[13,21,24,79,105,177,213,223,246,249,252,255,259,267,279,282,285,288,292,296,301,305,339],"chromosomes":[14],"19":[15],"and":[16,72,86,91,115,161,196,261,294,315,334],"22.":[17],"CML":[18,46,64,81,208,306,343],"includes":[19],"15-20%":[20],"all":[22],"cases":[23],"leukemia.":[25],"Although":[26],"bone":[27],"marrow":[28],"transplant":[29],"and,":[30],"more":[31],"recently,":[32],"tyrosine":[33],"kinase":[34],"inhibitors":[35],"(TKIs)":[36],"as":[37,201],"first-line":[39],"treatment":[40,320,333],"have":[41],"significantly":[42],"prolonged":[43],"survival":[44,62,101,303],"in":[45,166,240],"patients,":[47],"accurate":[48],"prediction":[49,300],"using":[50,183,216],"available":[51],"patient-level":[52],"factors":[53],"can":[54,308],"be":[55],"challenging.":[56],"We":[57],"intended":[58],"to":[59,170,221,311],"predict":[60],"5-year":[61,100,209],"among":[63],"patients":[65,82,307],"via":[66],"eight":[67,130,229],"machine":[68,152],"learning":[69],"(ML)":[70],"algorithms":[71],"compare":[73],"their":[74],"performance.":[75],"METHODS:":[76],"The":[77,96,109,163,211],"data":[78],"837":[80],"were":[83,127,199],"retrospectively":[84],"extracted":[85],"randomly":[87],"split":[88],"into":[89,129],"training":[90],"test":[92],"segments":[93],"(70:30":[94],"ratio).":[95],"outcome":[97],"variable":[98],"was":[99,168,181,219],"with":[102,187,243],"potential":[103],"values":[104],"alive":[106],"or":[107],"deceased.":[108],"dataset":[110,275],"for":[111,269,342],"full":[113],"features":[114,117,206],"important":[116],"selected":[118],"by":[119],"minimal":[120],"redundancy":[121],"maximal":[122],"relevance":[123],"(mRMR)":[124],"feature":[125],"selection":[126],"fed":[128],"ML":[131,214,230],"techniques,":[132],"including":[133],"eXtreme":[134],"gradient":[135],"boosting":[136],"(XGBoost),":[137],"multilayer":[138],"perceptron":[139],"(MLP),":[140],"pattern":[141],"recognition":[142],"network,":[143,149],"k-nearest":[144],"neighborhood":[145],"(KNN),":[146],"probabilistic":[147],"neural":[148],"support":[150],"vector":[151],"(SVM)":[153],"(kernel":[154,158,233],"=":[155,159,234],"linear),":[156],"SVM":[157,232],"RBF),":[160],"J-48.":[162],"scikit-learn":[164],"library":[165],"Python":[167],"used":[169],"implement":[171],"models.":[173],"Finally,":[174],"performance":[176,212,239],"developed":[179,328],"models":[180,215,329],"measured":[182],"some":[184],"evaluation":[185],"criteria":[186],"95%":[188],"confidence":[189],"intervals":[190],"(CI).":[191],"RESULTS:":[192],"Spleen":[193],"palpable,":[194],"age,":[195],"unexplained":[197],"hemorrhage":[198],"identified":[200],"top":[203],"three":[204],"effective":[205],"affecting":[207],"survival.":[210],"selected-features":[218],"superior":[220],"that":[222],"full-features":[225,274],"dataset.":[226],"Among":[227],"algorithms,":[231],"RBF)":[235],"had":[236],"best":[238,318],"tenfold":[241],"cross-validation":[242],"an":[244,277],"accuracy":[245,278],"85.7%,":[247],"specificity":[248,281],"85%,":[250],"sensitivity":[251,284],"86%,":[253],"F-measure":[254,287],"87%,":[256],"kappa":[257,290],"statistic":[258,291],"86.1%,":[260],"area":[262],"under":[263],"curve":[265],"(AUC)":[266],"85%":[268],"selected-features.":[271],"Using":[272],"yielded":[276],"69.7%,":[280],"69.1%,":[283],"71.3%,":[286],"72%,":[289],"75.2%,":[293],"AUC":[295],"70.1%.":[297],"CONCLUSIONS:":[298],"Accurate":[299],"likelihood":[304],"inform":[309],"caregivers":[310],"promote":[312],"patient":[313],"prognostication":[314],"choose":[316],"possible":[319],"path.":[321],"While":[322],"external":[323],"validation":[324],"required,":[326],"our":[327],"will":[330],"offer":[331],"customized":[332],"may":[335],"guide":[336],"prescription":[338],"personalized":[340],"medicine":[341],"patients.":[344]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}