{"id":"https://openalex.org/W2512159434","doi":"https://doi.org/10.1155/2016/6169249","title":"A Mass Spectrometric Analysis Method Based on PPCA and SVM for Early Detection of Ovarian Cancer","display_name":"A Mass Spectrometric Analysis Method Based on PPCA and SVM for Early Detection of Ovarian Cancer","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2512159434","doi":"https://doi.org/10.1155/2016/6169249","mag":"2512159434","pmid":"https://pubmed.ncbi.nlm.nih.gov/27642365"},"language":"en","primary_location":{"id":"doi:10.1155/2016/6169249","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/6169249","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2016/6169249.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/cmmm/2016/6169249.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101614807","display_name":"Jiang Wu","orcid":"https://orcid.org/0000-0002-9136-5069"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiang Wu","raw_affiliation_strings":["College of Electrical Engineering and Instrumentation, Jilin University, Changchun 130061, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Instrumentation, Jilin University, Changchun 130061, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062488800","display_name":"Yanju Ji","orcid":"https://orcid.org/0000-0001-9134-2927"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanju Ji","raw_affiliation_strings":["College of Electrical Engineering and Instrumentation, Jilin University, Changchun 130061, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Instrumentation, Jilin University, Changchun 130061, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101989553","display_name":"Ling Zhao","orcid":"https://orcid.org/0000-0003-0239-0631"},"institutions":[{"id":"https://openalex.org/I4210125137","display_name":"First Hospital of Jilin University","ror":"https://ror.org/034haf133","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210125137"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ling Zhao","raw_affiliation_strings":["First Hospital, Jilin University, Changchun 130021, China"],"affiliations":[{"raw_affiliation_string":"First Hospital, Jilin University, Changchun 130021, China","institution_ids":["https://openalex.org/I4210125137","https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049324348","display_name":"Mengying Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengying Ji","raw_affiliation_strings":["College of Electrical Engineering and Instrumentation, Jilin University, Changchun 130061, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Instrumentation, Jilin University, Changchun 130061, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037604733","display_name":"Ye Zhuang","orcid":"https://orcid.org/0000-0002-7528-3469"},"institutions":[{"id":"https://openalex.org/I4210125137","display_name":"First Hospital of Jilin University","ror":"https://ror.org/034haf133","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210125137"]},{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuang Ye","raw_affiliation_strings":["First Hospital, Jilin University, Changchun 130021, China"],"affiliations":[{"raw_affiliation_string":"First Hospital, Jilin University, Changchun 130021, China","institution_ids":["https://openalex.org/I4210125137","https://openalex.org/I194450716"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101689965","display_name":"Su\u2010Yi Li","orcid":"https://orcid.org/0000-0002-5703-4311"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Suyi Li","raw_affiliation_strings":["College of Electrical Engineering and Instrumentation, Jilin University, Changchun 130061, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Instrumentation, Jilin University, Changchun 130061, China","institution_ids":["https://openalex.org/I194450716"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5062488800","https://openalex.org/A5101689965"],"corresponding_institution_ids":["https://openalex.org/I194450716"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.3651,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.80083408,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2016","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10683","display_name":"Mass Spectrometry Techniques and Applications","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7310193777084351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5985493659973145},{"id":"https://openalex.org/keywords/ovarian-cancer","display_name":"Ovarian cancer","score":0.5695816874504089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5578422546386719},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5437958240509033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5432457327842712},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.485768586397171},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.34241414070129395},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1227651834487915},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11335435509681702}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7310193777084351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5985493659973145},{"id":"https://openalex.org/C2780427987","wikidata":"https://www.wikidata.org/wiki/Q172341","display_name":"Ovarian cancer","level":3,"score":0.5695816874504089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5578422546386719},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5437958240509033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5432457327842712},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.485768586397171},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.34241414070129395},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1227651834487915},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11335435509681702}],"mesh":[{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D005260","descriptor_name":"Female","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":"D006801","descriptor_name":"Humans","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010051","descriptor_name":"Ovarian Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D010051","descriptor_name":"Ovarian Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D010051","descriptor_name":"Ovarian Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D010051","descriptor_name":"Ovarian Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013058","descriptor_name":"Mass Spectrometry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055088","descriptor_name":"Early Detection of Cancer","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1155/2016/6169249","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/6169249","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2016/6169249.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:27642365","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27642365","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:2101902d601b46c3b4937e601493cfa7","is_oa":true,"landing_page_url":"https://doaj.org/article/2101902d601b46c3b4937e601493cfa7","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2016 (2016)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:3984183","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5011755","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2016/6169249","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2016/6169249","pdf_url":"http://downloads.hindawi.com/journals/cmmm/2016/6169249.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G8271673596","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2512159434.pdf","grobid_xml":"https://content.openalex.org/works/W2512159434.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1538496608","https://openalex.org/W1563088657","https://openalex.org/W1985560419","https://openalex.org/W2015550989","https://openalex.org/W2021707569","https://openalex.org/W2108060795","https://openalex.org/W2125027820","https://openalex.org/W2130213158","https://openalex.org/W2134389439","https://openalex.org/W2135263493","https://openalex.org/W2154639585","https://openalex.org/W2155307043","https://openalex.org/W2157646447","https://openalex.org/W2166192092","https://openalex.org/W2166960594","https://openalex.org/W2172300860","https://openalex.org/W2397053971","https://openalex.org/W2519438632"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W2373052636","https://openalex.org/W1968475104","https://openalex.org/W2899564673"],"abstract_inverted_index":{"Background.":[0],"Surfaced-enhanced":[1],"laser":[2],"desorption-ionization-time":[3],"of":[4,18,61,143,156,191],"flight":[5],"mass":[6],"spectrometry":[7],"(SELDI-TOF-MS)":[8],"technology":[9,181],"plays":[10],"an":[11],"important":[12],"role":[13],"in":[14,53,91,114,185],"the":[15,22,43,54,86,92,97,111,131,136,144,157,175,179],"early":[16,57,89,186],"diagnosis":[17,190],"ovarian":[19,87,132,192],"cancer.":[20,193],"However,":[21],"raw":[23],"MS":[24,45,66],"data":[25,50,93,99],"is":[26,33],"highly":[27],"dimensional":[28],"and":[29,38,76,83,118,124,141,150,163,189],"redundant.":[30],"Therefore,":[31],"it":[32],"necessary":[34],"to":[35,85,129],"study":[36],"rapid":[37],"accurate":[39],"detection":[40,59,115,134,172,188],"methods":[41],"from":[42],"massive":[44],"data.":[46],"Methods.":[47],"The":[48,167],"clinical":[49,187],"set":[51],"used":[52],"experiments":[55,126],"for":[56],"cancer":[58,88,133],"consisted":[60],"216":[62],"SELDI-TOF-MS":[63,180],"samples.":[64],"An":[65],"analysis":[67,74],"method":[68],"based":[69],"on":[70],"probabilistic":[71],"principal":[72],"components":[73],"(PPCA)":[75],"support":[77],"vector":[78],"machine":[79],"(SVM)":[80],"was":[81],"proposed":[82],"applied":[84],"classification":[90],"set.":[94],"Additionally,":[95],"by":[96],"same":[98],"set,":[100],"we":[101,109],"also":[102],"established":[103],"a":[104,183],"traditional":[105],"PCA-SVM":[106,145],"model.":[107],"Finally":[108],"compared":[110],"two":[112],"models":[113],"accuracy,":[116,139],"specificity,":[117],"sensitivity.":[119],"Results.":[120],"Using":[121],"independent":[122],"training":[123],"testing":[125],"10":[127],"times":[128],"evaluate":[130],"models,":[135],"average":[137],"prediction":[138],"sensitivity,":[140],"specificity":[142],"model":[146,159,169,176],"were":[147,160],"83.34%,":[148],"82.70%,":[149],"83.88%,":[151],"respectively.":[152,165],"In":[153],"contrast,":[154],"those":[155],"PPCA-SVM":[158,168],"90.80%,":[161],"92.98%,":[162],"88.97%,":[164],"Conclusions.":[166],"had":[170,182],"better":[171],"performance.":[173],"And":[174],"combined":[177],"with":[178],"prospect":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
