{"id":"https://openalex.org/W4387965836","doi":"https://doi.org/10.1038/s41746-023-00948-y","title":"Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application","display_name":"Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387965836","doi":"https://doi.org/10.1038/s41746-023-00948-y","pmid":"https://pubmed.ncbi.nlm.nih.gov/37884599"},"language":"en","primary_location":{"id":"doi:10.1038/s41746-023-00948-y","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-023-00948-y","pdf_url":"https://www.nature.com/articles/s41746-023-00948-y.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","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":"npj Digital Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.nature.com/articles/s41746-023-00948-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080617386","display_name":"Mert Karabacak","orcid":"https://orcid.org/0000-0002-9263-9893"},"institutions":[{"id":"https://openalex.org/I1320796813","display_name":"Mount Sinai Health System","ror":"https://ror.org/04kfn4587","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1320796813"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mert Karabacak","raw_affiliation_strings":["Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA","institution_ids":["https://openalex.org/I1320796813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092059681","display_name":"Pemla Jagtiani","orcid":"https://orcid.org/0000-0002-6075-0255"},"institutions":[{"id":"https://openalex.org/I181697535","display_name":"SUNY Downstate Health Sciences University","ror":"https://ror.org/0041qmd21","country_code":"US","type":"education","lineage":["https://openalex.org/I181697535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pemla Jagtiani","raw_affiliation_strings":["School of Medicine, SUNY Downstate Health Sciences University, New York, 11203, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-6075-0255","affiliations":[{"raw_affiliation_string":"School of Medicine, SUNY Downstate Health Sciences University, New York, 11203, NY, USA","institution_ids":["https://openalex.org/I181697535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022161823","display_name":"Alejandro Carrasquilla","orcid":"https://orcid.org/0000-0001-7304-1784"},"institutions":[{"id":"https://openalex.org/I1320796813","display_name":"Mount Sinai Health System","ror":"https://ror.org/04kfn4587","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1320796813"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alejandro Carrasquilla","raw_affiliation_strings":["Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-7304-1784","affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA","institution_ids":["https://openalex.org/I1320796813"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019747361","display_name":"Isabelle M. Germano","orcid":"https://orcid.org/0000-0002-3992-373X"},"institutions":[{"id":"https://openalex.org/I1320796813","display_name":"Mount Sinai Health System","ror":"https://ror.org/04kfn4587","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1320796813"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isabelle M. Germano","raw_affiliation_strings":["Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA","institution_ids":["https://openalex.org/I1320796813"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064315969","display_name":"Konstantinos Margetis","orcid":"https://orcid.org/0000-0002-3715-8093"},"institutions":[{"id":"https://openalex.org/I1320796813","display_name":"Mount Sinai Health System","ror":"https://ror.org/04kfn4587","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1320796813"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Konstantinos Margetis","raw_affiliation_strings":["Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA. Konstantinos.Margetis@mountsinai.org","Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-3715-8093","affiliations":[{"raw_affiliation_string":"Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA. Konstantinos.Margetis@mountsinai.org","institution_ids":["https://openalex.org/I1320796813"]},{"raw_affiliation_string":"Department of Neurosurgery, Mount Sinai Health System, New York, 10029, NY, USA","institution_ids":["https://openalex.org/I1320796813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080617386"],"corresponding_institution_ids":["https://openalex.org/I1320796813"],"apc_list":{"value":3060,"currency":"USD","value_usd":3060},"apc_paid":{"value":3060,"currency":"USD","value_usd":3060},"fwci":6.2626,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.97152289,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"6","issue":"1","first_page":"200","last_page":"200"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10129","display_name":"Glioma Diagnosis and Treatment","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9866999983787537,"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/interpretability","display_name":"Interpretability","score":0.8768636584281921},{"id":"https://openalex.org/keywords/glioma","display_name":"Glioma","score":0.711847722530365},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7053499221801758},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6876510977745056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5882355570793152},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.5650915503501892},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5223254561424255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47068315744400024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4317856431007385},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.4271983504295349},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4141526520252228},{"id":"https://openalex.org/keywords/glioblastoma","display_name":"Glioblastoma","score":0.41238364577293396},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.39001065492630005},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.37593287229537964}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8768636584281921},{"id":"https://openalex.org/C2778227246","wikidata":"https://www.wikidata.org/wiki/Q1365309","display_name":"Glioma","level":2,"score":0.711847722530365},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7053499221801758},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6876510977745056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5882355570793152},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.5650915503501892},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5223254561424255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47068315744400024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4317856431007385},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4271983504295349},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4141526520252228},{"id":"https://openalex.org/C2776194525","wikidata":"https://www.wikidata.org/wiki/Q282142","display_name":"Glioblastoma","level":2,"score":0.41238364577293396},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.39001065492630005},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.37593287229537964},{"id":"https://openalex.org/C502942594","wikidata":"https://www.wikidata.org/wiki/Q3421914","display_name":"Cancer research","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1038/s41746-023-00948-y","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-023-00948-y","pdf_url":"https://www.nature.com/articles/s41746-023-00948-y.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","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":"npj Digital Medicine","raw_type":"journal-article"},{"id":"pmid:37884599","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37884599","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":"NPJ digital medicine","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10603035","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10603035","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10603035/pdf/41746_2023_Article_948.pdf","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":"NPJ Digit Med","raw_type":"Text"},{"id":"pmh:oai:soar.suny.edu:20.500.12648/14693","is_oa":true,"landing_page_url":"https://soar.suny.edu/bitstream/20.500.12648/14693/1/s41746-023-00948-y.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400078","display_name":"SUNY Digital Repository Support (State University of New York System)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63190737","host_organization_name":"University at Buffalo, State University of New York","host_organization_lineage":["https://openalex.org/I63190737"],"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":"1","raw_type":"Article/Review"},{"id":"pmh:oai:doaj.org/article:7ea6d628dee84663b7dfae0652dac474","is_oa":true,"landing_page_url":"https://doaj.org/article/7ea6d628dee84663b7dfae0652dac474","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"npj Digital Medicine, Vol 6, Iss 1, Pp 1-10 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1038/s41746-023-00948-y","is_oa":true,"landing_page_url":"https://doi.org/10.1038/s41746-023-00948-y","pdf_url":"https://www.nature.com/articles/s41746-023-00948-y.pdf","source":{"id":"https://openalex.org/S4210195431","display_name":"npj Digital Medicine","issn_l":"2398-6352","issn":["2398-6352"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319908","host_organization_name":"Nature Portfolio","host_organization_lineage":["https://openalex.org/P4310319908","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Nature Portfolio","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":"npj Digital Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4387965836.pdf"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1608734166","https://openalex.org/W1651586605","https://openalex.org/W1986092833","https://openalex.org/W2004079062","https://openalex.org/W2019694480","https://openalex.org/W2055416871","https://openalex.org/W2088794999","https://openalex.org/W2091374137","https://openalex.org/W2098824882","https://openalex.org/W2111547563","https://openalex.org/W2125847307","https://openalex.org/W2134942438","https://openalex.org/W2148143831","https://openalex.org/W2148977460","https://openalex.org/W2155653793","https://openalex.org/W2295598076","https://openalex.org/W2562251009","https://openalex.org/W2594733019","https://openalex.org/W2611463039","https://openalex.org/W2808617417","https://openalex.org/W2911964244","https://openalex.org/W2943596565","https://openalex.org/W2962897394","https://openalex.org/W2980668540","https://openalex.org/W2996480032","https://openalex.org/W3135917060","https://openalex.org/W4200041405","https://openalex.org/W4206344290","https://openalex.org/W4211132876","https://openalex.org/W4213058946","https://openalex.org/W4214919700","https://openalex.org/W4220709346","https://openalex.org/W4226066612","https://openalex.org/W4226161778","https://openalex.org/W4229009740","https://openalex.org/W4234865248","https://openalex.org/W4291145859","https://openalex.org/W4292664348","https://openalex.org/W4294982321","https://openalex.org/W4296039293","https://openalex.org/W4297491457","https://openalex.org/W4302009014","https://openalex.org/W4306880438","https://openalex.org/W4311290366","https://openalex.org/W4318486566","https://openalex.org/W4324020189","https://openalex.org/W4324148408","https://openalex.org/W4384339207","https://openalex.org/W4385380493"],"related_works":["https://openalex.org/W4361806667","https://openalex.org/W3191198889","https://openalex.org/W3108868229","https://openalex.org/W4205686051","https://openalex.org/W4206275624","https://openalex.org/W3189884647","https://openalex.org/W4313451520","https://openalex.org/W3134571208","https://openalex.org/W3203664106","https://openalex.org/W4251864566"],"abstract_inverted_index":{"WHO":[0,79],"grade":[1,65,80,84,134,155,174],"II":[2,66,81,135,175],"and":[3,42,61,67,82,129,153,176,207],"III":[4,68,85,156,177],"gliomas":[5],"demonstrate":[6],"diverse":[7],"biological":[8],"behaviors":[9],"resulting":[10],"in":[11,38,54,103],"variable":[12],"survival":[13,44,56,171],"outcomes.":[14],"In":[15],"the":[16,27,30,49,72,89,92,100,115,118,124,137,158],"context":[17],"of":[18,32,51,117],"glioma":[19,69,178],"prognosis,":[20],"machine":[21],"learning":[22],"(ML)":[23],"approaches":[24],"could":[25],"facilitate":[26],"navigation":[28],"through":[29],"maze":[31],"factors":[33],"influencing":[34],"survival,":[35],"aiding":[36],"clinicians":[37],"generating":[39],"more":[40],"precise":[41],"personalized":[43],"predictions.":[45,109],"Here":[46],"we":[47,76,98],"report":[48],"utilization":[50],"ML":[52,167],"models":[53,102,122,138,159,168],"predicting":[55,148],"at":[57],"12,":[58],"24,":[59],"36,":[60],"60":[62],"months":[63],"following":[64],"diagnosis.":[70],"From":[71],"National":[73],"Cancer":[74],"Database,":[75],"analyze":[77],"10,001":[78],"11,456":[83],"cranial":[86],"gliomas.":[87],"Using":[88],"area":[90],"under":[91],"receiver":[93],"operating":[94],"characteristic":[95],"(AUROC)":[96],"values,":[97],"deploy":[99],"top-performing":[101],"a":[104,191],"web":[105,188],"application":[106,189],"for":[107,147,154,173],"individualized":[108,170],"SHapley":[110],"Additive":[111],"exPlanations":[112],"(SHAP)":[113],"enhance":[114],"interpretability":[116],"models.":[119],"Top-performing":[120],"predictive":[121,198],"are":[123],"ones":[125],"built":[126],"with":[127],"LightGBM":[128],"Random":[130],"Forest":[131],"algorithms.":[132],"For":[133],"gliomas,":[136,157],"yield":[139,160],"AUROC":[140],"values":[141],"ranging":[142,162],"from":[143,163],"0.813":[144],"to":[145,165,195,204],"0.896":[146],"mortality":[149],"across":[150,180],"different":[151],"timeframes,":[152],"AUROCs":[161],"0.855":[164],"0.878.":[166],"provide":[169],"forecasts":[172],"patients":[179],"multiple":[181],"clinically":[182],"relevant":[183],"time":[184],"points.":[185],"The":[186],"user-friendly":[187],"represents":[190],"pioneering":[192],"digital":[193],"tool":[194],"potentially":[196],"integrate":[197],"analytics":[199],"into":[200],"neuro-oncology":[201],"clinical":[202,209],"practice,":[203],"empower":[205],"prognostication":[206],"personalize":[208],"decision-making.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":17}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}