{"id":"https://openalex.org/W2798974396","doi":"https://doi.org/10.3233/978-1-61499-852-5-101","title":"Predicting Clinical Outcomes in Colorectal Cancer Using Machine Learning","display_name":"Predicting Clinical Outcomes in Colorectal Cancer Using Machine Learning","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798974396","doi":"https://doi.org/10.3233/978-1-61499-852-5-101","mag":"2798974396","pmid":"https://pubmed.ncbi.nlm.nih.gov/29677931"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-852-5-101","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-852-5-101","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/978-1-61499-852-5-101","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Gr&uuml;ndner Julian","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gr&uuml;ndner Julian","raw_affiliation_strings":["Medical Informatics, Friedrich-Alexander University, Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Informatics, Friedrich-Alexander University, Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052931994","display_name":"Hans\u2010Ulrich Prokosch","orcid":"https://orcid.org/0000-0001-6200-753X"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Prokosch Hans-Ulrich","raw_affiliation_strings":["Medical Informatics, Friedrich-Alexander University, Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Informatics, Friedrich-Alexander University, Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":null,"display_name":"St&uuml;rzl Michael","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"St&uuml;rzl Michael","raw_affiliation_strings":["Division of Molecular and Experimental Surgery, Department of Surgery, Friedrich-Alexander University, Erlangen-N\u00fcrnberg , Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Molecular and Experimental Surgery, Department of Surgery, Friedrich-Alexander University, Erlangen-N\u00fcrnberg , Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045920845","display_name":"Roland S. Croner","orcid":"https://orcid.org/0000-0001-6248-7086"},"institutions":[{"id":"https://openalex.org/I4210138551","display_name":"University Hospital Magdeburg","ror":"https://ror.org/03m04df46","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210138551"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Croner Roland","raw_affiliation_strings":["Department of General, Visceral, Vascular and Graft Surgery, University Hospital, Magdeburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of General, Visceral, Vascular and Graft Surgery, University Hospital, Magdeburg, Germany","institution_ids":["https://openalex.org/I4210138551"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080416734","display_name":"Jan Christoph","orcid":"https://orcid.org/0000-0003-4369-3591"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christoph Jan","raw_affiliation_strings":["Medical Informatics, Friedrich-Alexander University, Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Informatics, Friedrich-Alexander University, Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020380404","display_name":"Dennis Toddenroth","orcid":null},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Toddenroth Dennis","raw_affiliation_strings":["Medical Informatics, Friedrich-Alexander University, Erlangen-N\u00fcrnberg, Erlangen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Medical Informatics, Friedrich-Alexander University, Erlangen-N\u00fcrnberg, Erlangen, Germany","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9592,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95248498,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"247","issue":null,"first_page":"101","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9940000176429749,"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"}},{"id":"https://openalex.org/T10335","display_name":"Colorectal Cancer Surgical Treatments","score":0.9758999943733215,"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/colorectal-cancer","display_name":"Colorectal cancer","score":0.6106024384498596},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.57286536693573},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5606022477149963},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5582863092422485},{"id":"https://openalex.org/keywords/randomized-controlled-trial","display_name":"Randomized controlled trial","score":0.5042258501052856},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4868575930595398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4793984889984131},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4603213667869568},{"id":"https://openalex.org/keywords/clinical-trial","display_name":"Clinical trial","score":0.4398650527000427},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4386487603187561},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.43028390407562256},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41601401567459106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36468079686164856},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3259623050689697},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.28502628207206726}],"concepts":[{"id":"https://openalex.org/C526805850","wikidata":"https://www.wikidata.org/wiki/Q188874","display_name":"Colorectal cancer","level":3,"score":0.6106024384498596},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.57286536693573},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5606022477149963},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5582863092422485},{"id":"https://openalex.org/C168563851","wikidata":"https://www.wikidata.org/wiki/Q1436668","display_name":"Randomized controlled trial","level":2,"score":0.5042258501052856},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4868575930595398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4793984889984131},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4603213667869568},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.4398650527000427},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4386487603187561},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.43028390407562256},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41601401567459106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36468079686164856},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3259623050689697},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.28502628207206726}],"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":"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":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D015179","descriptor_name":"Colorectal Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018572","descriptor_name":"Disease-Free Survival","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018572","descriptor_name":"Disease-Free Survival","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018572","descriptor_name":"Disease-Free Survival","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.3233/978-1-61499-852-5-101","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-852-5-101","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:29677931","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29677931","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":"Studies in health technology and informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.3233/978-1-61499-852-5-101","is_oa":true,"landing_page_url":"https://doi.org/10.3233/978-1-61499-852-5-101","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W3135126032","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W3191198889","https://openalex.org/W4399767560"],"abstract_inverted_index":{"Using":[0],"gene":[1],"markers":[2],"and":[3,20,50,65,79,85,99,107,126,141,145,163],"other":[4,159],"patient":[5,33],"features":[6],"to":[7,35,118,149,158],"predict":[8],"clinical":[9,17],"outcomes":[10,56,76],"plays":[11],"a":[12,27,120],"vital":[13],"role":[14],"in":[15,115,161],"enhancing":[16],"decision":[18,121],"making":[19],"improving":[21],"prognostic":[22],"accuracy.":[23],"This":[24],"work":[25,134],"uses":[26],"large":[28],"set":[29],"of":[30,83,105],"colorectal":[31],"cancer":[32],"data":[34,90],"train":[36],"predictive":[37,70,147],"models":[38,71,95,111,148],"using":[39],"machine":[40],"learning":[41],"methods":[42],"such":[43],"as":[44],"random":[45],"forest,":[46],"general":[47],"linear":[48],"model,":[49],"neural":[51],"network":[52],"for":[53,74,122,143],"clinically":[54],"relevant":[55],"including":[57],"disease":[58],"free":[59],"survival,":[60,61],"radio-chemotherapy":[62],"response":[63],"(RCT-R)":[64],"relapse.":[66],"The":[67,92],"most":[68],"successful":[69],"were":[72],"created":[73],"dichotomous":[75],"like":[77],"relapse":[78],"RCT-R":[80],"with":[81],"accuracies":[82],"0.71":[84],"0.70":[86],"on":[87,137],"blinded":[88],"test":[89],"respectively.":[91,109],"best":[93],"prediction":[94],"regarding":[96],"overall":[97],"survival":[98,101,128],"disease-free":[100],"had":[102],"C-Index":[103],"scores":[104],"0.86":[106],"0.76":[108],"These":[110],"could":[112,154],"be":[113,155,164],"used":[114],"the":[116],"future":[117,133],"aid":[119],"or":[123],"against":[124],"chemotherapy":[125],"improve":[127],"prognosis.":[129],"We":[130],"propose":[131],"that":[132,152],"should":[135],"focus":[136],"creating":[138],"reusable":[139],"frameworks":[140],"infrastructure":[142],"training":[144],"delivering":[146],"physicians,":[150],"so":[151],"they":[153],"readily":[156],"applied":[157],"diseases":[160],"practice":[162],"continuously":[165],"developed":[166],"integrating":[167],"new":[168],"data.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
