{"id":"https://openalex.org/W3040495672","doi":"https://doi.org/10.2196/18387","title":"Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study","display_name":"Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study","publication_year":2020,"publication_date":"2020-07-06","ids":{"openalex":"https://openalex.org/W3040495672","doi":"https://doi.org/10.2196/18387","mag":"3040495672","pmid":"https://pubmed.ncbi.nlm.nih.gov/32773372","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7445622"},"language":"en","primary_location":{"id":"doi:10.2196/18387","doi":"https://doi.org/10.2196/18387","is_oa":true,"landing_page_url":"https://doi.org/10.2196/18387","pdf_url":"https://www.jmir.org/2020/8/e18387/PDF","source":{"id":"https://openalex.org/S17147534","display_name":"Journal of Medical Internet Research","issn_l":"1438-8871","issn":["1438-8871","1439-4456"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","doyens","fnege-4","jufo-2","ki-jl-2","medline","norway-2","oarl","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320608","host_organization_name":"JMIR Publications","host_organization_lineage":["https://openalex.org/P4310320608"],"host_organization_lineage_names":["JMIR Publications"],"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 Medical Internet Research","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.jmir.org/2020/8/e18387/PDF","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037119368","display_name":"Solbi Kweon","orcid":"https://orcid.org/0000-0002-8021-9605","observed_orcids":["https://orcid.org/0000-0002-8021-9605"]},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I2801680663","display_name":"Asan Medical Center","ror":"https://ror.org/03s5q0090","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I2801680663","https://openalex.org/I4210167194"]},{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]},{"id":"https://openalex.org/I4210160791","display_name":"Yonsei University Health System","ror":"https://ror.org/04sze3c15","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I4210160791"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Solbi Kweon","raw_affiliation_strings":["Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea","Department of Medical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-8021-9605","affiliations":[{"raw_affiliation_string":"Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966","https://openalex.org/I4210160791"]},{"raw_affiliation_string":"Department of Medical Engineering, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I2801680663","https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100652915","display_name":"Jeong Hoon Lee","orcid":"https://orcid.org/0000-0002-1789-8270","observed_orcids":["https://orcid.org/0000-0002-1789-8270","https://orcid.org/0000-0001-8254-5183"]},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I4210160791","display_name":"Yonsei University Health System","ror":"https://ror.org/04sze3c15","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I4210160791"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong Hoon Lee","raw_affiliation_strings":["Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-1789-8270","affiliations":[{"raw_affiliation_string":"Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966","https://openalex.org/I4210160791"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100778649","display_name":"Younghee Lee","orcid":"https://orcid.org/0000-0002-6850-0082","observed_orcids":["https://orcid.org/0000-0002-6850-0082"]},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Younghee Lee","raw_affiliation_strings":["Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States"],"raw_orcid":"https://orcid.org/0000-0002-6850-0082","affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046176363","display_name":"Yu Rang Park","orcid":"https://orcid.org/0000-0002-4210-2094","observed_orcids":["https://orcid.org/0000-0002-4210-2094","https://orcid.org/0000-0002-7574-4165"]},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]},{"id":"https://openalex.org/I4210160791","display_name":"Yonsei University Health System","ror":"https://ror.org/04sze3c15","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I193775966","https://openalex.org/I4210160791"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Yu Rang Park","raw_affiliation_strings":["Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-4210-2094","affiliations":[{"raw_affiliation_string":"Department of Biomedical System Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I193775966","https://openalex.org/I4210160791"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046176363"],"corresponding_institution_ids":["https://openalex.org/I193775966","https://openalex.org/I4210160791"],"apc_list":{"value":2950,"currency":"USD","value_usd":2950},"apc_paid":{"value":2950,"currency":"USD","value_usd":2950},"fwci":0.2403,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.43239661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"22","issue":"8","first_page":"e18387","last_page":"e18387"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.8241999745368958,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.8241999745368958,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.12880000472068787,"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"}},{"id":"https://openalex.org/T11287","display_name":"Cancer Genomics and Diagnostics","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/genetic-privacy","display_name":"genetic privacy","score":0.5920000076293945},{"id":"https://openalex.org/keywords/cancer-patients","display_name":"cancer patients","score":0.47999998927116394},{"id":"https://openalex.org/keywords/patient-identifiers","display_name":"patient identifiers","score":0.3869999945163727},{"id":"https://openalex.org/keywords/gender-estimation","display_name":"gender prediction","score":0.7260000109672546},{"id":"https://openalex.org/keywords/race-prediction","display_name":"race prediction","score":0.8399999737739563},{"id":"https://openalex.org/keywords/cancer-type-prediction","display_name":"cancer type prediction","score":0.9359999895095825},{"id":"https://openalex.org/keywords/cancer-stage-prediction","display_name":"tumor stage prediction","score":0.984000027179718},{"id":"https://openalex.org/keywords/age-prediction","display_name":"age prediction","score":0.9629999995231628},{"id":"https://openalex.org/keywords/the-cancer-genome-atlas","display_name":"TCGA","score":0.7940000295639038},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.6980000138282776},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9959999918937683},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.8230000138282776},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9850000143051147},{"id":"https://openalex.org/keywords/genomic-data-sharing","display_name":"genomic data sharing","score":0.699999988079071},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"breast cancer","score":0.5879999995231628},{"id":"https://openalex.org/keywords/clear-cell-renal-cell-carcinoma","display_name":"clear cell renal cell carcinoma","score":0.8999999761581421},{"id":"https://openalex.org/keywords/head-and-neck-squamous-cell-carcinoma","display_name":"head and neck squamous cell carcinoma","score":1.0}],"concepts":[{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5811684727668762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5734136700630188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5306158661842346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5115852952003479},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5032760500907898},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.500110387802124},{"id":"https://openalex.org/C24103923","wikidata":"https://www.wikidata.org/wiki/Q7170583","display_name":"Personal genomics","level":5,"score":0.4847552478313446},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.47873684763908386},{"id":"https://openalex.org/C169093310","wikidata":"https://www.wikidata.org/wiki/Q3702971","display_name":"Personally identifiable information","level":2,"score":0.47027522325515747},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4505786895751953},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4205652177333832},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3691693842411041},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3584864139556885},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.22721505165100098},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.147011399269104},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":"Q000592","qualifier_name":"standards","is_major_topic":true},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000369","descriptor_name":"Aged, 80 and over","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D012313","descriptor_name":"RNA","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055991","descriptor_name":"Health Records, Personal","qualifier_ui":"Q000523","qualifier_name":"psychology","is_major_topic":true},{"descriptor_ui":"D059014","descriptor_name":"High-Throughput Nucleotide Sequencing","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.2196/18387","doi":"https://doi.org/10.2196/18387","is_oa":true,"landing_page_url":"https://doi.org/10.2196/18387","pdf_url":"https://www.jmir.org/2020/8/e18387/PDF","source":{"id":"https://openalex.org/S17147534","display_name":"Journal of Medical Internet Research","issn_l":"1438-8871","issn":["1438-8871","1439-4456"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","doyens","fnege-4","jufo-2","ki-jl-2","medline","norway-2","oarl","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320608","host_organization_name":"JMIR Publications","host_organization_lineage":["https://openalex.org/P4310320608"],"host_organization_lineage_names":["JMIR Publications"],"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 Medical Internet Research","raw_type":"journal-article"},{"id":"doi:10.2196/preprints.18387","doi":"https://doi.org/10.2196/preprints.18387","is_oa":true,"landing_page_url":"https://doi.org/10.2196/preprints.18387","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},{"id":"pmh:oai:pubmedcentral.nih.gov:7445622","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7445622","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"J Med Internet Res","raw_type":"Text"},{"id":"pmid:32773372","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32773372","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,"listed_in":[],"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":"Journal of medical Internet research","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:6bc1c021156443ecaf74d88575ab6cee","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/6bc1c021156443ecaf74d88575ab6cee","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,"listed_in":[],"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 Medical Internet Research, Vol 22, Iss 8, p e18387 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.2196/18387","doi":"https://doi.org/10.2196/18387","is_oa":true,"landing_page_url":"https://doi.org/10.2196/18387","pdf_url":"https://www.jmir.org/2020/8/e18387/PDF","source":{"id":"https://openalex.org/S17147534","display_name":"Journal of Medical Internet Research","issn_l":"1438-8871","issn":["1438-8871","1439-4456"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","doyens","fnege-4","jufo-2","ki-jl-2","medline","norway-2","oarl","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320608","host_organization_name":"JMIR Publications","host_organization_lineage":["https://openalex.org/P4310320608"],"host_organization_lineage_names":["JMIR Publications"],"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 Medical Internet Research","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.98580002784729,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321314","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96"},{"id":"https://openalex.org/F4320335295","display_name":"Yonsei University College of Medicine","ror":"https://ror.org/01wjejq96"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3040495672.pdf","grobid_xml":"https://content.openalex.org/works/W3040495672.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W45053571","https://openalex.org/W1505191356","https://openalex.org/W1520812622","https://openalex.org/W1580018887","https://openalex.org/W1687968277","https://openalex.org/W1974047233","https://openalex.org/W1981509058","https://openalex.org/W1987521207","https://openalex.org/W1999574084","https://openalex.org/W2004419591","https://openalex.org/W2007176121","https://openalex.org/W2028979517","https://openalex.org/W2042601392","https://openalex.org/W2053724458","https://openalex.org/W2056933088","https://openalex.org/W2079474508","https://openalex.org/W2081003999","https://openalex.org/W2091631034","https://openalex.org/W2093017030","https://openalex.org/W2102794349","https://openalex.org/W2111547563","https://openalex.org/W2114104545","https://openalex.org/W2115093090","https://openalex.org/W2130979840","https://openalex.org/W2132073122","https://openalex.org/W2137476312","https://openalex.org/W2137526110","https://openalex.org/W2144227498","https://openalex.org/W2153601290","https://openalex.org/W2154431984","https://openalex.org/W2162686456","https://openalex.org/W2162943561","https://openalex.org/W2187503591","https://openalex.org/W2319713884","https://openalex.org/W2329659234","https://openalex.org/W2488684359","https://openalex.org/W2592216350","https://openalex.org/W2601710247","https://openalex.org/W2602657459","https://openalex.org/W2747836226","https://openalex.org/W2766065912","https://openalex.org/W2768112689","https://openalex.org/W2807754974","https://openalex.org/W2963693643","https://openalex.org/W2984726985","https://openalex.org/W4242167029"],"related_works":["https://openalex.org/W4410639633","https://openalex.org/W188638509","https://openalex.org/W2991139036","https://openalex.org/W7112033706","https://openalex.org/W4210598545","https://openalex.org/W4398757669","https://openalex.org/W3121716842","https://openalex.org/W4409630441","https://openalex.org/W7077278496","https://openalex.org/W4386363336"],"abstract_inverted_index":{"BACKGROUND:":[0],"As":[1],"the":[2,15,121,127,132,176,226,264,269,276,285,291,309,313,323,331],"need":[3],"for":[4,82,219,330],"sharing":[5,19],"genomic":[6,38],"data":[7,18,39,51,214,369],"grows,":[8],"privacy":[9],"issues":[10],"and":[11,20,52,77,97,129,150,157,205,221,231,243,260,299,372],"concerns,":[12],"such":[13,202,239],"as":[14,203,240],"ethics":[16],"surrounding":[17],"disclosure":[21],"of":[22,31,120,178,236,315],"personal":[23,46,55,69,108,196,237,363],"information,":[24,238],"are":[25],"raised.":[26],"OBJECTIVE:":[27],"The":[28,63,216],"main":[29],"purpose":[30],"this":[32,373],"study":[33,360],"was":[34,124,273,288],"to":[35,42,103,164,248,338,378],"verify":[36,165],"whether":[37,105,166],"is":[40,370],"sufficient":[41],"predict":[43,249,339],"a":[44,106],"patient's":[45,107],"information.":[47],"METHODS:":[48],"RNA":[49,115,212,251,343,367],"expression":[50,116,213,252,344,368],"matched":[53],"patient":[54,340],"information":[56,70,109,197,341,364,374],"were":[57,80,101,225,229,246,301],"collected":[58],"from":[59,114,188,211,250,257,366],"9538":[60],"patients":[61],"in":[62,184,308],"Cancer":[64],"Genome":[65],"Atlas":[66],"program.":[67],"Five":[68],"variables":[71,307],"(age,":[72],"gender,":[73],"race,":[74,242],"cancer":[75,78,140,190,206,222,244,316,333],"type,":[76,207,223],"stage)":[79],"recorded":[81],"each":[83],"patient.":[84],"Four":[85],"different":[86],"machine":[87,181,266,279],"learning":[88,182,267],"algorithms":[89],"(support":[90],"vector":[91,278],"machine,":[92],"decision":[93],"tree,":[94],"random":[95,292],"forest,":[96],"artificial":[98],"neural":[99],"network)":[100],"used":[102,377],"determine":[104],"could":[110,208,351,357],"be":[111,209,352,376],"accurately":[112,304],"predicted":[113,210,302],"data.":[117,345],"Performance":[118],"measurement":[119],"prediction":[122,217,318,325],"models":[123,183],"based":[125],"on":[126],"accuracy":[128,168,272,282,287,296,314,326],"area":[130],"under":[131],"receiver":[133],"operating":[134],"characteristic":[135],"curve.":[136],"We":[137,173,336,346],"selected":[138],"five":[139,332],"types":[141],"(breast":[142],"carcinoma,":[143,148,154],"kidney":[144],"renal":[145],"clear":[146],"cell":[147,153],"head":[149],"neck":[151],"squamous":[152],"low-grade":[155],"glioma,":[156],"lung":[158],"adenocarcinoma)":[159],"with":[160,198,254],"large":[161],"samples":[162,187],"sizes":[163],"predictive":[167,271],"would":[169],"differ":[170],"between":[171,320,328],"them.":[172],"also":[174],"validated":[175],"efficacy":[177],"our":[179],"four":[180],"analyzing":[185],"normal":[186],"593":[189],"patients.":[191,381],"RESULTS:":[192],"In":[193],"most":[194,355],"samples,":[195],"high":[199],"genetic":[200],"relevance,":[201],"gender":[204,220],"alone.":[215],"accuracies":[218,255],"which":[224],"best":[227],"models,":[228],"0.93-0.99":[230],"0.78-0.94,":[232],"respectively.":[233,262],"Other":[234],"aspects":[235],"age,":[241],"stage,":[245],"difficult":[247],"data,":[253],"ranging":[256],"0.0026-0.29,":[258],"0.76-0.96,":[259],"0.45-0.79,":[261],"Among":[263],"tested":[265],"methods,":[268],"highest":[270],"obtained":[274,289],"using":[275,290,342],"support":[277],"algorithm":[280],"(mean":[281,295],"0.77),":[283],"while":[284,322],"lowest":[286],"forest":[293],"method":[294],"0.65).":[297],"Gender":[298],"race":[300],"more":[303],"than":[305],"other":[306],"samples.":[310],"On":[311],"average,":[312],"stage":[317],"ranged":[319,327],"0.71-0.67,":[321],"age":[324],"0.18-0.23":[329],"types.":[334],"CONCLUSIONS:":[335],"attempted":[337],"found":[347],"that":[348,362],"some":[349],"identifiers":[350],"predicted,":[353],"but":[354],"others":[356],"not.":[358],"This":[359],"showed":[361],"available":[365],"limited":[371],"cannot":[375],"identify":[379],"specific":[380]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-07-10T00:00:00"}
