{"id":"https://openalex.org/W2898841345","doi":"https://doi.org/10.1109/embc.2018.8513365","title":"Diagnosis of prostate cancer in a Chinese population by using machine learning methods","display_name":"Diagnosis of prostate cancer in a Chinese population by using machine learning methods","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2898841345","doi":"https://doi.org/10.1109/embc.2018.8513365","mag":"2898841345","pmid":"https://pubmed.ncbi.nlm.nih.gov/30440319"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8513365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/103675/1/Wang_Diagnosis_Prostate_Cancer.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051413585","display_name":"Guanjin Wang","orcid":"https://orcid.org/0000-0002-5258-0532"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Guanjin Wang","raw_affiliation_strings":["Hong Kong Polytechnic University, Kowloon, HK"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Kowloon, HK","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069174563","display_name":"Jeremy Yuen\u2010Chun Teoh","orcid":"https://orcid.org/0000-0002-9361-2342"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jeremy Yuen-Chun Teoh","raw_affiliation_strings":["Chinese University of Hong Kong, New Territories, HK"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong, New Territories, HK","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048680068","display_name":"Kup\u2010Sze Choi","orcid":"https://orcid.org/0000-0003-0836-7088"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kup-Sze Choi","raw_affiliation_strings":["Hong Kong Polytechnic University, Kowloon, HK"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Kowloon, HK","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5051413585"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":2.5701,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.90243951,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10124","display_name":"Prostate Cancer Diagnosis and Treatment","score":0.9987000226974487,"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":0.9987000226974487,"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/T10543","display_name":"Prostate Cancer Treatment and Research","score":0.9753999710083008,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7835932970046997},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.6703817844390869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.660125732421875},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.616571307182312},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5709183216094971},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5701308250427246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5315693616867065},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.47110989689826965},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.43575966358184814},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.41335228085517883},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1668699085712433}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7835932970046997},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6703817844390869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.660125732421875},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.616571307182312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5709183216094971},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5701308250427246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5315693616867065},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.47110989689826965},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.43575966358184814},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.41335228085517883},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1668699085712433}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000368","descriptor_name":"Aged","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":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001706","descriptor_name":"Biopsy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001706","descriptor_name":"Biopsy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001706","descriptor_name":"Biopsy","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":"D008297","descriptor_name":"Male","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":"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":"D008875","descriptor_name":"Middle Aged","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":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016018","descriptor_name":"Least-Squares Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D044466","descriptor_name":"Asian People","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D044466","descriptor_name":"Asian People","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D044466","descriptor_name":"Asian People","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1109/embc.2018.8513365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30440319","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30440319","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/103675","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/103675","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/103675/1/Wang_Diagnosis_Prostate_Cancer.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},{"id":"pmh:oai:researchrepository.murdoch.edu.au:52807","is_oa":false,"landing_page_url":"https://researchrepository.murdoch.edu.au/id/eprint/52807/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400274","display_name":"Murdoch Research Repository (Murdoch University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I176790772","host_organization_name":"Murdoch University","host_organization_lineage":["https://openalex.org/I176790772"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"  Wang, G. <https://researchrepository.murdoch.edu.au/view/author/Wang, Guanjin.html>ORCID: 0000-0002-5258-0532 <http://orcid.org/0000-0002-5258-0532>, Teoh, J.Y-C and Choi, K-S   (2018)  Diagnosis of prostate cancer in a Chinese population by using machine learning methods.     In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 17 - 21 July 2018, Honolulu, HI, USA  pp. 1-4.  ","raw_type":"Conference Paper"}],"best_oa_location":{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/103675","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/103675","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/103675/1/Wang_Diagnosis_Prostate_Cancer.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Paper"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G3103415534","display_name":null,"funder_award_id":"PolyU 152040/16E","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2898841345.pdf","grobid_xml":"https://content.openalex.org/works/W2898841345.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W1596717185","https://openalex.org/W1995341919","https://openalex.org/W2032553244","https://openalex.org/W2037495825","https://openalex.org/W2040870580","https://openalex.org/W2061734101","https://openalex.org/W2089378422","https://openalex.org/W2114480871","https://openalex.org/W2127261409","https://openalex.org/W2151388232","https://openalex.org/W2209826608","https://openalex.org/W2437033065","https://openalex.org/W2523396458","https://openalex.org/W2570618306","https://openalex.org/W4230590910","https://openalex.org/W4239510810","https://openalex.org/W4301501800","https://openalex.org/W6610017368","https://openalex.org/W6718400759"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052"],"abstract_inverted_index":{"An":[0],"early":[1],"diagnosis":[2],"of":[3,24,43,58,110,139,145,164,170],"prostate":[4,15,115],"cancer":[5],"(PC)":[6],"is":[7,49],"key":[8],"for":[9,36],"the":[10,22,37,40,56,122,125,136,142,149],"successful":[11],"treatment.":[12],"Although":[13],"invasive":[14],"biopsies":[16,25,116],"can":[17],"provide":[18],"a":[19,108,167],"definitive":[20],"diagnosis,":[21],"number":[23],"should":[26],"be":[27],"reduced":[28],"to":[29,52,93],"avoid":[30],"side":[31],"effects":[32],"and":[33,89,105,141,157,166],"risks":[34],"especially":[35],"men":[38,113],"with":[39,55,114,133,161],"low":[41],"risk":[42],"cancer.":[44],"Therefore,":[45],"an":[46,162],"accurate":[47],"model":[48],"in":[50,128,153],"need":[51],"predict":[53],"PC":[54,95,131,159],"aim":[57],"reducing":[59],"unnecessary":[60],"biopsies.":[61],"In":[62],"this":[63],"study,":[64],"we":[65],"developed":[66],"predictive":[67],"models":[68,102,123],"using":[69,97],"four":[70],"machine":[71],"learning":[72],"methods":[73,152],"including":[74],"Support":[75,81],"Vector":[76,82],"Machine":[77,83],"(SVM),":[78],"Least":[79],"Squares":[80],"(LS-SVM),":[84],"Artificial":[85],"Neural":[86],"Network":[87],"(ANN)":[88],"Random":[90],"Forest":[91],"(RF)":[92],"detect":[94],"cases":[96],"available":[98],"prebiopsy":[99],"information.":[100],"The":[101],"were":[103],"constructed":[104],"evaluated":[106],"on":[107],"cohort":[109],"1625":[111],"Chinese":[112],"from":[117],"Hong":[118],"Kong":[119],"hospital.":[120],"All":[121],"have":[124],"excellent":[126],"performances":[127],"detecting":[129],"significant":[130,156],"cases,":[132,160],"ANN":[134],"achieving":[135],"highest":[137],"accuracy":[138,163],"0.9527":[140],"AUC":[143],"value":[144],"0.9755.":[146],"RF":[147],"outperformed":[148],"other":[150],"three":[151],"classifying":[154],"benign,":[155],"insignificant":[158],"0.9741":[165],"F1":[168],"score":[169],"0.8290.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}