{"id":"https://openalex.org/W2999519352","doi":"https://doi.org/10.1080/08839514.2020.1815151","title":"An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial","display_name":"An evaluation of machine learning techniques to predict the outcome of children treated for Hodgkin-Lymphoma on the AHOD0031 trial","publication_year":2020,"publication_date":"2020-10-14","ids":{"openalex":"https://openalex.org/W2999519352","doi":"https://doi.org/10.1080/08839514.2020.1815151","mag":"2999519352","pmid":"https://pubmed.ncbi.nlm.nih.gov/33731974"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2020.1815151","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2020.1815151","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2001.05534","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"C\u00e9dric Beaulac","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"C\u00e9dric Beaulac","raw_affiliation_strings":["Department of Statistical Sciences, University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Sciences, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jeffrey S. Rosenthal","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jeffrey S. Rosenthal","raw_affiliation_strings":["Department of Statistical Sciences, University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Sciences, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qinglin Pei","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qinglin Pei","raw_affiliation_strings":["Department of Biostatistics, University of Florida, Gainesville, Florida, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Debra Friedman","orcid":null},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Debra Friedman","raw_affiliation_strings":["Department of Pediatrics, Vanderbilt University, Nashville, Tennessee, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pediatrics, Vanderbilt University, Nashville, Tennessee, USA","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Suzanne Wolden","orcid":null},"institutions":[{"id":"https://openalex.org/I1334819555","display_name":"Memorial Sloan Kettering Cancer Center","ror":"https://ror.org/02yrq0923","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1334819555"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suzanne Wolden","raw_affiliation_strings":["Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York, USA","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"last","author":{"id":null,"display_name":"David Hodgson","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"David Hodgson","raw_affiliation_strings":["Department of Radiation Oncology, University of Toronto, Toronto, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiation Oncology, University of Toronto, Toronto, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.5713,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64664618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":"14","first_page":"1100","last_page":"1114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10185","display_name":"Lymphoma Diagnosis and Treatment","score":0.2150000035762787,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic Medicine"},"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/T10185","display_name":"Lymphoma Diagnosis and Treatment","score":0.2150000035762787,"subfield":{"id":"https://openalex.org/subfields/2734","display_name":"Pathology and Forensic 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/T14374","display_name":"Statistical Methods in Epidemiology","score":0.1656000018119812,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.07580000162124634,"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/brier-score","display_name":"Brier score","score":0.695900022983551},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6560999751091003},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6158999800682068},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.5439000129699707},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4490000009536743},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4348999857902527},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.4147999882698059},{"id":"https://openalex.org/keywords/concordance","display_name":"Concordance","score":0.39899998903274536}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.807200014591217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7574999928474426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7175999879837036},{"id":"https://openalex.org/C35405484","wikidata":"https://www.wikidata.org/wiki/Q4967066","display_name":"Brier score","level":2,"score":0.695900022983551},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6560999751091003},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6158999800682068},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5439000129699707},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4490000009536743},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4348999857902527},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C160798450","wikidata":"https://www.wikidata.org/wiki/Q4230870","display_name":"Concordance","level":2,"score":0.39899998903274536},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.37549999356269836},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.35040000081062317},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32820001244544983},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.2937000095844269},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.27000001072883606}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1080/08839514.2020.1815151","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2020.1815151","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmid:33731974","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33731974","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":"Applied artificial intelligence : AAI","raw_type":null},{"id":"pmh:oai:arXiv.org:2001.05534","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.05534","pdf_url":"https://arxiv.org/pdf/2001.05534","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:doaj.org/article:1ff12003c8364670be8c52d85e43f6ce","is_oa":false,"landing_page_url":"https://doaj.org/article/1ff12003c8364670be8c52d85e43f6ce","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 34, Iss 14, Pp 1100-1114 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7963212","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7963212","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Appl Artif Intell","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2001.05534","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2001.05534","pdf_url":"https://arxiv.org/pdf/2001.05534","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320317059","display_name":"Children\u2019s Oncology Group","ror":"https://ror.org/03yyg2352"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W350700918","https://openalex.org/W1875061881","https://openalex.org/W1973682096","https://openalex.org/W1977933350","https://openalex.org/W1983317938","https://openalex.org/W2011186625","https://openalex.org/W2032388524","https://openalex.org/W2052825782","https://openalex.org/W2080791146","https://openalex.org/W2093729382","https://openalex.org/W2097360283","https://openalex.org/W2112740000","https://openalex.org/W2123998733","https://openalex.org/W2127874289","https://openalex.org/W2129925362","https://openalex.org/W2157076315","https://openalex.org/W2753919178","https://openalex.org/W2766237527","https://openalex.org/W2787894218","https://openalex.org/W2901743512","https://openalex.org/W2911964244","https://openalex.org/W2913997948","https://openalex.org/W2918598741","https://openalex.org/W2950852589","https://openalex.org/W3035623224","https://openalex.org/W3147894994","https://openalex.org/W4212883601","https://openalex.org/W4245958676","https://openalex.org/W4246259708","https://openalex.org/W4294541781"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"manuscript":[2],"we":[3,75,83,112],"analyze":[4],"a":[5,18,52,114],"data":[6],"set":[7],"containing":[8],"information":[9],"on":[10,17,119],"children":[11],"with":[12,29],"Hodgkin":[13],"Lymphoma":[14],"(HL)":[15],"enrolled":[16],"clinical":[19,36],"trial.":[20],"Treatments":[21],"received":[22],"and":[23,35,81,107],"survival":[24,53],"status":[25],"were":[26],"collected":[27],"together":[28],"other":[30],"covariates":[31],"such":[32],"as":[33],"demographics":[34],"measurements.":[37],"Our":[38],"main":[39],"task":[40],"is":[41],"to":[42,58,78,90,103,127],"explore":[43],"the":[44,61,69,72,104,108,130],"potential":[45],"of":[46,71,116],"machine":[47],"learning":[48],"(ML)":[49],"algorithms":[50],"in":[51,56,133],"analysis":[54],"context":[55],"order":[57],"improve":[59,79],"over":[60],"Cox":[62],"Proportional":[63],"Hazard":[64],"(CoxPH)":[65],"model.":[66],"We":[67,97],"discuss":[68],"weaknesses":[70],"CoxPH":[73],"model":[74,101],"would":[76,125],"like":[77,126],"upon":[80],"then":[82,98],"introduce":[84],"multiple":[85],"algorithms,":[86],"from":[87,129],"well-established":[88],"ones":[89],"state-of-the-art":[91],"models,":[92],"that":[93,124],"solve":[94],"these":[95],"issues.":[96],"compare":[99],"every":[100],"according":[102],"concordance":[105],"index":[106],"brier":[109],"score.":[110],"Finally,":[111],"produce":[113],"series":[115],"recommendations,":[117],"based":[118],"our":[120],"experience,":[121],"for":[122],"practitioners":[123],"benefit":[128],"recent":[131],"advances":[132],"artificial":[134],"intelligence.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2020-01-23T00:00:00"}