{"id":"https://openalex.org/W4214502947","doi":"https://doi.org/10.1186/s40537-022-00578-3","title":"Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms","display_name":"Predicting clinical outcomes of radiotherapy for head and neck squamous cell carcinoma patients using machine learning algorithms","publication_year":2022,"publication_date":"2022-02-25","ids":{"openalex":"https://openalex.org/W4214502947","doi":"https://doi.org/10.1186/s40537-022-00578-3"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-022-00578-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00578-3","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-022-00578-3","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-022-00578-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021811180","display_name":"Tarun Gangil","orcid":"https://orcid.org/0000-0002-7940-220X"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]},{"id":"https://openalex.org/I76414455","display_name":"Kasturba Medical College, Manipal","ror":"https://ror.org/05hg48t65","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460","https://openalex.org/I76414455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tarun Gangil","raw_affiliation_strings":["Department of Radiotherapy and Oncology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0002-7940-220X","affiliations":[{"raw_affiliation_string":"Department of Radiotherapy and Oncology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460","https://openalex.org/I76414455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019238468","display_name":"Amina Beevi Shahabuddin","orcid":null},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]},{"id":"https://openalex.org/I76414455","display_name":"Kasturba Medical College, Manipal","ror":"https://ror.org/05hg48t65","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460","https://openalex.org/I76414455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amina Beevi Shahabuddin","raw_affiliation_strings":["Department of Radiotherapy and Oncology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiotherapy and Oncology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460","https://openalex.org/I76414455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091299627","display_name":"B. Dinesh Rao","orcid":"https://orcid.org/0000-0002-5160-482X"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"B. Dinesh Rao","raw_affiliation_strings":["Manipal School of Information Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0002-5160-482X","affiliations":[{"raw_affiliation_string":"Manipal School of Information Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080065306","display_name":"Krishnamoorthy Palanisamy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133649","display_name":"Philips (India)","ror":"https://ror.org/0435vfk93","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210133649"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishnamoorthy Palanisamy","raw_affiliation_strings":["Philips Research India, Bangalore, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Research India, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I4210133649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046640525","display_name":"Biswaroop Chakrabarti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133649","display_name":"Philips (India)","ror":"https://ror.org/0435vfk93","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210122849","https://openalex.org/I4210133649"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biswaroop Chakrabarti","raw_affiliation_strings":["Philips Research India, Bangalore, Karnataka, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Philips Research India, Bangalore, Karnataka, India","institution_ids":["https://openalex.org/I4210133649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078252662","display_name":"Krishna Sharan","orcid":"https://orcid.org/0000-0002-7949-1708"},"institutions":[{"id":"https://openalex.org/I164861460","display_name":"Manipal Academy of Higher Education","ror":"https://ror.org/02xzytt36","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460"]},{"id":"https://openalex.org/I76414455","display_name":"Kasturba Medical College, Manipal","ror":"https://ror.org/05hg48t65","country_code":"IN","type":"education","lineage":["https://openalex.org/I164861460","https://openalex.org/I76414455"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Krishna Sharan","raw_affiliation_strings":["Department of Radiotherapy and Oncology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India"],"raw_orcid":"https://orcid.org/0000-0002-7949-1708","affiliations":[{"raw_affiliation_string":"Department of Radiotherapy and Oncology, Kasturba Medical College-Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India","institution_ids":["https://openalex.org/I164861460","https://openalex.org/I76414455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5078252662"],"corresponding_institution_ids":["https://openalex.org/I164861460","https://openalex.org/I76414455"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":2.0608,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86057701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"9","issue":"1","first_page":null,"last_page":null},"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":0.984000027179718,"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":0.984000027179718,"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/T10307","display_name":"Head and Neck Cancer Studies","score":0.982200026512146,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9801999926567078,"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/random-forest","display_name":"Random forest","score":0.6583269834518433},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5923815369606018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5725423693656921},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5718361735343933},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.565249502658844},{"id":"https://openalex.org/keywords/head-and-neck-squamous-cell-carcinoma","display_name":"Head and neck squamous-cell carcinoma","score":0.5233432650566101},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5171196460723877},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.47479480504989624},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.44518113136291504},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4438645541667938},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.44283345341682434},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.4424101710319519},{"id":"https://openalex.org/keywords/oversampling","display_name":"Oversampling","score":0.42667102813720703},{"id":"https://openalex.org/keywords/head-and-neck-cancer","display_name":"Head and neck cancer","score":0.26774781942367554},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.22392383217811584}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6583269834518433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5923815369606018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5725423693656921},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5718361735343933},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.565249502658844},{"id":"https://openalex.org/C2776833033","wikidata":"https://www.wikidata.org/wiki/Q1783924","display_name":"Head and neck squamous-cell carcinoma","level":4,"score":0.5233432650566101},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5171196460723877},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.47479480504989624},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.44518113136291504},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4438645541667938},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.44283345341682434},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.4424101710319519},{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.42667102813720703},{"id":"https://openalex.org/C2776530083","wikidata":"https://www.wikidata.org/wiki/Q1783924","display_name":"Head and neck cancer","level":3,"score":0.26774781942367554},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.22392383217811584},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-022-00578-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00578-3","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-022-00578-3","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4e2bed810dca455e8bd94770312dec07","is_oa":true,"landing_page_url":"https://doaj.org/article/4e2bed810dca455e8bd94770312dec07","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":"Journal of Big Data, Vol 9, Iss 1, Pp 1-19 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-022-00578-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-022-00578-3","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-022-00578-3","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320307766","display_name":"Philips","ror":"https://ror.org/02p2bgp27"},{"id":"https://openalex.org/F4320319058","display_name":"Kasturba Medical College, Manipal","ror":"https://ror.org/05hg48t65"},{"id":"https://openalex.org/F4320322932","display_name":"Manipal University","ror":"https://ror.org/02xzytt36"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214502947.pdf","grobid_xml":"https://content.openalex.org/works/W4214502947.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W61851215","https://openalex.org/W1541250240","https://openalex.org/W2000515020","https://openalex.org/W2011021469","https://openalex.org/W2016771288","https://openalex.org/W2019381370","https://openalex.org/W2155653793","https://openalex.org/W2525984666","https://openalex.org/W2609535107","https://openalex.org/W2748845601","https://openalex.org/W2782813169","https://openalex.org/W2889646458","https://openalex.org/W2921551027","https://openalex.org/W2942637643","https://openalex.org/W2946805352","https://openalex.org/W2966679659","https://openalex.org/W2967852385","https://openalex.org/W2972430989","https://openalex.org/W2983753125","https://openalex.org/W2998732610","https://openalex.org/W3034303182","https://openalex.org/W3046340167","https://openalex.org/W3092409488","https://openalex.org/W3100128679","https://openalex.org/W3109457744","https://openalex.org/W3111640100","https://openalex.org/W3122308606","https://openalex.org/W3134720996","https://openalex.org/W3135871359","https://openalex.org/W3158581682","https://openalex.org/W3160686853","https://openalex.org/W3202435008","https://openalex.org/W4256538432","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W4401045170","https://openalex.org/W3172259201","https://openalex.org/W2903618681","https://openalex.org/W3184937791","https://openalex.org/W4401052546","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W1517228774","https://openalex.org/W2767419625","https://openalex.org/W2389704471"],"abstract_inverted_index":{"Abstract":[0],"Background":[1],"Radiotherapy":[2],"is":[3,21,143],"frequently":[4],"used":[5],"to":[6,29,47,130,236],"treat":[7],"head":[8],"and":[9,33,57,76,81,109,124,159,188,201,217,242],"neck":[10],"Squamous":[11],"cell":[12],"carcinomas":[13],"(HNSCC).":[14],"Treatment":[15],"outcomes":[16,56],"being":[17],"highly":[18],"uncertain,":[19],"there":[20],"a":[22,83,192],"significant":[23],"need":[24],"for":[25,163,213,225],"robust":[26],"predictive":[27],"tools":[28],"improvise":[30],"treatment":[31,173],"decision-making":[32],"better":[34],"understand":[35],"HNSCC":[36,69],"by":[37],"recognizing":[38],"hidden":[39],"patterns":[40],"in":[41,62,136,254],"data.":[42],"We":[43],"conducted":[44],"this":[45],"study":[46],"identify":[48,58],"if":[49],"Machine":[50,157],"Learning":[51],"(ML)":[52],"could":[53,247],"accurately":[54],"predict":[55,237],"new":[59],"prognostic":[60,252],"variables":[61],"HNSCC.":[63,255],"Method":[64],"Retrospective":[65],"data":[66,115],"of":[67,85,100,111,134,170,197,250],"311":[68],"patients":[70],"treated":[71],"with":[72,243],"radiotherapy":[73],"between":[74],"2013":[75],"2018":[77],"at":[78,86],"our":[79],"center":[80],"having":[82],"follow-up":[84],"least":[87],"three":[88],"months'":[89],"duration":[90],"were":[91,96,116,208],"collected.":[92],"Binary-classification":[93],"prediction":[94],"models":[95,190],"developed":[97],"for:":[98],"Choice":[99],"Initial":[101],"Treatment,":[102],"Residual":[103],"disease,":[104],"Locoregional":[105],"Recurrence,":[106,108],"Distant":[107],"Development":[110],"New":[112],"Primary.":[113],"Clinical":[114],"pre-processed":[117],"using":[118,150,180,210],"Imputation,":[119],"Feature":[120,125],"selection,":[121],"Minority":[122],"Oversampling,":[123],"scaling":[126],"algorithms.":[127],"A":[128],"method":[129],"retain":[131],"original":[132],"characteristics":[133],"dataset":[135],"testing":[137,176,193],"samples":[138],"while":[139],"performing":[140],"minority":[141],"oversampling":[142],"illustrated.":[144],"The":[145,182,204],"classification":[146,161,215],"comparison":[147],"was":[148,178,230,234],"performed":[149],"Random":[151],"Forest":[152],"(RF),":[153],"Kernel":[154],"Support":[155],"Vector":[156],"(KSVM),":[158],"XGBoost":[160],"algorithms":[162],"each":[164,214],"model.":[165],"Results":[166],"For":[167],"the":[168,171,175,218,222,226],"choice":[169],"initial":[172],"model,":[174,216],"accuracy":[177,194],"84.58%":[179],"RF.":[181],"distant":[183],"recurrence,":[184,186],"locoregional":[185],"new-primary,":[187],"residual":[189],"had":[191],"(using":[195],"KSVM)":[196],"95.12%,":[198],"77.55%,":[199],"98.61%,":[200],"92.25%,":[202],"respectively.":[203],"important":[205],"clinical":[206,245],"determinants":[207],"identified":[209],"Shapely":[211],"Values":[212],"mean":[219],"area":[220],"under":[221],"curve":[223,229],"(AUC)":[224],"receiver":[227],"operating":[228],"plotted.":[231],"Conclusion":[232],"ML":[233],"able":[235],"several":[238],"clinically":[239],"relevant":[240],"outcomes,":[241],"additional":[244],"validation,":[246],"facilitate":[248],"recognition":[249],"novel":[251],"factors":[253]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
