{"id":"https://openalex.org/W2747276368","doi":"https://doi.org/10.1145/3107411.3108201","title":"Preconditioned Random Forest Regression","display_name":"Preconditioned Random Forest Regression","publication_year":2017,"publication_date":"2017-08-20","ids":{"openalex":"https://openalex.org/W2747276368","doi":"https://doi.org/10.1145/3107411.3108201","mag":"2747276368"},"language":"en","primary_location":{"id":"doi:10.1145/3107411.3108201","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3107411.3108201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100711143","display_name":"Sangkyu Lee","orcid":"https://orcid.org/0000-0003-4124-6077"},"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":true,"raw_author_name":"Sangkyu Lee","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center, New York, NY, USA","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090040622","display_name":"Sarah L. Kerns","orcid":"https://orcid.org/0000-0002-6503-0011"},"institutions":[{"id":"https://openalex.org/I28792581","display_name":"University of Rochester Medical Center","ror":"https://ror.org/00trqv719","country_code":"US","type":"funder","lineage":["https://openalex.org/I28792581","https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Kerns","raw_affiliation_strings":["University of Rochester Medical Center, Rochester, NY, USA"],"affiliations":[{"raw_affiliation_string":"University of Rochester Medical Center, Rochester, NY, USA","institution_ids":["https://openalex.org/I28792581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033261943","display_name":"Barry S. Rosenstein","orcid":"https://orcid.org/0000-0002-3149-3237"},"institutions":[{"id":"https://openalex.org/I98704320","display_name":"Icahn School of Medicine at Mount Sinai","ror":"https://ror.org/04a9tmd77","country_code":"US","type":"education","lineage":["https://openalex.org/I1320796813","https://openalex.org/I98704320"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barry Rosenstein","raw_affiliation_strings":["Icahn School of Medicine at Mount Sinai, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Icahn School of Medicine at Mount Sinai, New York, NY, USA","institution_ids":["https://openalex.org/I98704320"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043561947","display_name":"Harry Ostrer","orcid":"https://orcid.org/0000-0002-2209-5376"},"institutions":[{"id":"https://openalex.org/I129975664","display_name":"Albert Einstein College of Medicine","ror":"https://ror.org/05cf8a891","country_code":"US","type":"education","lineage":["https://openalex.org/I129975664","https://openalex.org/I4210112371"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Harry Ostrer","raw_affiliation_strings":["Albert Einstein College of Medicine, Bronx, NY, USA"],"affiliations":[{"raw_affiliation_string":"Albert Einstein College of Medicine, Bronx, NY, USA","institution_ids":["https://openalex.org/I129975664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026159944","display_name":"Joseph O. Deasy","orcid":"https://orcid.org/0000-0002-9437-266X"},"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":"Joseph O. Deasy","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center, New York, NY, USA","institution_ids":["https://openalex.org/I1334819555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078855608","display_name":"Jung Hun Oh","orcid":"https://orcid.org/0000-0001-8791-2755"},"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":"Jung Hun Oh","raw_affiliation_strings":["Memorial Sloan Kettering Cancer Center, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Memorial Sloan Kettering Cancer Center, New York, NY, USA","institution_ids":["https://openalex.org/I1334819555"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100711143"],"corresponding_institution_ids":["https://openalex.org/I1334819555"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17005358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"593","last_page":"593"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T10136","display_name":"Statistical Methods and Inference","score":0.9812999963760376,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9563000202178955,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7666834592819214},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.7474293112754822},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.45753294229507446},{"id":"https://openalex.org/keywords/toxicity","display_name":"Toxicity","score":0.43961459398269653},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4345386326313019},{"id":"https://openalex.org/keywords/quality-of-life","display_name":"Quality of life (healthcare)","score":0.4241289496421814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42391306161880493},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.4039635956287384},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.36939042806625366},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.34501412510871887},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3278162479400635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23885834217071533},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22996994853019714},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14696717262268066}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7666834592819214},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.7474293112754822},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.45753294229507446},{"id":"https://openalex.org/C29730261","wikidata":"https://www.wikidata.org/wiki/Q274160","display_name":"Toxicity","level":2,"score":0.43961459398269653},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4345386326313019},{"id":"https://openalex.org/C2779951463","wikidata":"https://www.wikidata.org/wiki/Q7268788","display_name":"Quality of life (healthcare)","level":2,"score":0.4241289496421814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42391306161880493},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.4039635956287384},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.36939042806625366},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.34501412510871887},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3278162479400635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23885834217071533},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22996994853019714},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14696717262268066},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3107411.3108201","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3107411.3108201","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2023162983","https://openalex.org/W2589394645"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W2048488252","https://openalex.org/W4289884158","https://openalex.org/W2940614149","https://openalex.org/W4288365262","https://openalex.org/W2787485953","https://openalex.org/W3217432596"],"abstract_inverted_index":{"Urinary":[0],"toxicity":[1,36],"after":[2],"radiotherapy":[3],"(RT)":[4],"limits":[5],"the":[6,55,62,72,89,94,103],"quality":[7],"of":[8,10,65,74,105],"life":[9],"prostate":[11,106],"cancer":[12,107],"patients,":[13],"and":[14],"clinically":[15],"actionable":[16],"prediction":[17],"has":[18],"yet":[19],"to":[20,25,29,45,100],"be":[21,98],"achieved.":[22],"We":[23,38],"aim":[24],"exploit":[26],"genome-wide":[27],"variants":[28],"accurately":[30],"identify":[31],"patients":[32,108],"at":[33],"higher":[34],"congenital":[35],"risk.":[37],"applied":[39],"preconditioned":[40],"random":[41,75],"forest":[42],"regression":[43],"(PRFR)":[44],"predict":[46],"four":[47],"urinary":[48],"symptoms.":[49],"For":[50],"a":[51],"weak":[52],"stream":[53],"endpoint,":[54],"PRFR":[56],"model":[57,96],"achieved":[58],"an":[59],"area":[60],"under":[61],"curve":[63],"(AUC)":[64],"0.7":[66],"on":[67],"holdout":[68],"validation.":[69],"Preconditioning":[70],"enhanced":[71],"performance":[73],"forest.":[76],"Gene":[77],"ontology":[78],"(GO)":[79],"analysis":[80],"showed":[81],"that":[82],"neurogenic":[83],"biological":[84],"processes":[85],"are":[86],"associated":[87],"with":[88,110],"toxicity.":[90],"Upon":[91],"further":[92],"validation,":[93],"predictive":[95],"can":[97],"used":[99],"potentially":[101],"benefit":[102],"health":[104],"treated":[109],"radiotherapy.":[111]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
