{"id":"https://openalex.org/W2118366842","doi":"https://doi.org/10.1186/1471-2105-14-170","title":"Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods","display_name":"Oral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods","publication_year":2013,"publication_date":"2013-05-31","ids":{"openalex":"https://openalex.org/W2118366842","doi":"https://doi.org/10.1186/1471-2105-14-170","mag":"2118366842","pmid":"https://pubmed.ncbi.nlm.nih.gov/23725313"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-14-170","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-170","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-170","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-170","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038757453","display_name":"Siow\u2010Wee Chang","orcid":"https://orcid.org/0000-0001-7038-6170"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Siow-Wee Chang","raw_affiliation_strings":["Bioinformatics and Computational Biology, Institute of Biological Science, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia. changsiowwee@yahoo.com","Bioinformatics and Computational Biology, Institute of Biological Science, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia","Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics and Computational Biology, Institute of Biological Science, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia. changsiowwee@yahoo.com","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"Bioinformatics and Computational Biology, Institute of Biological Science, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027758159","display_name":"Sameem Abdul Kareem","orcid":"https://orcid.org/0000-0001-5177-8013"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sameem Abdul-Kareem","raw_affiliation_strings":["Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037489385","display_name":"Amir Feisal Merican","orcid":"https://orcid.org/0000-0001-6809-8815"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Amir Feisal Merican","raw_affiliation_strings":["Bioinformatics and Computational Biology, Institute of Biological Science, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics and Computational Biology, Institute of Biological Science, Faculty of Science, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057031481","display_name":"Rosnah Binti Zain","orcid":"https://orcid.org/0000-0003-4963-8032"},"institutions":[{"id":"https://openalex.org/I33849332","display_name":"University of Malaya","ror":"https://ror.org/00rzspn62","country_code":"MY","type":"education","lineage":["https://openalex.org/I33849332"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Rosnah Binti Zain","raw_affiliation_strings":["Department of Oral Pathology and Oral Medicine and Periodontology, Oral Cancer Research and Coordinating Centre (OCRCC), Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Oral Pathology and Oral Medicine and Periodontology, Oral Cancer Research and Coordinating Centre (OCRCC), Faculty of Dentistry, University of Malaya, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I33849332"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038757453"],"corresponding_institution_ids":["https://openalex.org/I33849332"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":3.4,"has_fulltext":true,"cited_by_count":158,"citation_normalized_percentile":{"value":0.9194583,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"14","issue":"1","first_page":"170","last_page":"170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10307","display_name":"Head and Neck Cancer Studies","score":0.4138000011444092,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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/T10307","display_name":"Head and Neck Cancer Studies","score":0.4138000011444092,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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/T11452","display_name":"Oral Health Pathology and Treatment","score":0.11500000208616257,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13324","display_name":"Scientific and Engineering Research Topics","score":0.0617000013589859,"subfield":{"id":"https://openalex.org/subfields/3506","display_name":"Periodontics"},"field":{"id":"https://openalex.org/fields/35","display_name":"Dentistry"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8303900957107544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7099810838699341},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7051981091499329},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5968441963195801},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5951968431472778},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5289991497993469},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4892148971557617},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.47194546461105347},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4656212031841278},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45794859528541565},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.44609689712524414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4202157258987427},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4179452955722809},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.19145873188972473},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15248659253120422},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12111642956733704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11039215326309204}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8303900957107544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7099810838699341},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7051981091499329},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5968441963195801},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5951968431472778},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5289991497993469},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4892148971557617},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.47194546461105347},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4656212031841278},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45794859528541565},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.44609689712524414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4202157258987427},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4179452955722809},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.19145873188972473},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15248659253120422},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12111642956733704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11039215326309204},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","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":"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":"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":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009062","descriptor_name":"Mouth Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D009062","descriptor_name":"Mouth Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D009062","descriptor_name":"Mouth Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D009062","descriptor_name":"Mouth Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009062","descriptor_name":"Mouth Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009062","descriptor_name":"Mouth Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009062","descriptor_name":"Mouth Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009062","descriptor_name":"Mouth Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D009062","descriptor_name":"Mouth Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011379","descriptor_name":"Prognosis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D015894","descriptor_name":"Genome, Human","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015894","descriptor_name":"Genome, Human","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015894","descriptor_name":"Genome, Human","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","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":"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":5,"locations":[{"id":"doi:10.1186/1471-2105-14-170","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-170","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-170","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:23725313","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23725313","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:eprints.um.edu.my:8124","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400330","display_name":"The University of Malaya Research Repository (University of Malaya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I33849332","host_organization_name":"University of Malaya","host_organization_lineage":["https://openalex.org/I33849332"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:europepmc.org:2672120","is_oa":true,"landing_page_url":"http://europepmc.org/articles/PMC3673908","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":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:3673908","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3673908","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,"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":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-14-170","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-14-170","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-14-170","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322604","display_name":"Universiti Malaya","ror":"https://ror.org/00rzspn62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2118366842.pdf","grobid_xml":"https://content.openalex.org/works/W2118366842.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W609679850","https://openalex.org/W1575980544","https://openalex.org/W1639032689","https://openalex.org/W1651586605","https://openalex.org/W1808644423","https://openalex.org/W1965417071","https://openalex.org/W1971811330","https://openalex.org/W1975264507","https://openalex.org/W1978166971","https://openalex.org/W1987026408","https://openalex.org/W1993970552","https://openalex.org/W2011845715","https://openalex.org/W2012169936","https://openalex.org/W2018442334","https://openalex.org/W2019207321","https://openalex.org/W2021455757","https://openalex.org/W2024169449","https://openalex.org/W2025060250","https://openalex.org/W2025738103","https://openalex.org/W2030112489","https://openalex.org/W2040615655","https://openalex.org/W2058815669","https://openalex.org/W2075225356","https://openalex.org/W2080987888","https://openalex.org/W2084015592","https://openalex.org/W2088227117","https://openalex.org/W2103499201","https://openalex.org/W2105981176","https://openalex.org/W2128552148","https://openalex.org/W2130338776","https://openalex.org/W2135740733","https://openalex.org/W2153635508","https://openalex.org/W2163424852","https://openalex.org/W2167769381","https://openalex.org/W2170718479","https://openalex.org/W2181307546","https://openalex.org/W2619400090","https://openalex.org/W2766071692","https://openalex.org/W2799202940","https://openalex.org/W2904250082","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W4293088233","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W816105089","https://openalex.org/W1886884218","https://openalex.org/W4386564352","https://openalex.org/W2952668426","https://openalex.org/W2550904580"],"abstract_inverted_index":{"BACKGROUND:":[0],"Machine":[1],"learning":[2,100],"techniques":[3],"are":[4,19,156,166,169],"becoming":[5,255],"useful":[6],"as":[7,17,256],"an":[8,61],"alternative":[9],"approach":[10],"to":[11,57,74,78,91,192,250],"conventional":[12],"medical":[13],"diagnosis":[14],"or":[15],"prognosis":[16,63,105,139,231],"they":[18],"good":[20],"for":[21,52,220],"handling":[22],"noisy":[23],"and":[24,27,98,115,133,178,208,240],"incomplete":[25],"data,":[26],"significant":[28,257],"results":[29,227],"can":[30,246],"be":[31,247],"attained":[32],"despite":[33],"a":[34,72,93],"small":[35,194],"sample":[36,195],"size.":[37,196],"Traditionally,":[38],"clinicians":[39],"make":[40],"prognostic":[41,258],"decisions":[42],"based":[43,106],"on":[44,107,135,158,186],"clinicopathologic":[45,114,239],"markers.":[46,117,242],"However,":[47],"it":[48],"is":[49,71,90,184,232],"not":[50],"easy":[51],"the":[53,80,108,111,120,136,142,145,148,159,193,211,221,230,235,252,261],"most":[54],"skilful":[55],"clinician":[56],"come":[58],"out":[59],"with":[60,147,202,234],"accurate":[62],"by":[64],"using":[65],"these":[66,168],"markers":[67,77],"alone.":[68],"Thus,":[69],"there":[70],"need":[73],"use":[75],"genomic":[76,116,241],"improve":[79],"accuracy":[81,213],"of":[82,87,95,110,113,123,164,189,200,205,237,254],"prognosis.":[83,224],"The":[84,197,226,243],"main":[85],"aim":[86],"this":[88,124],"research":[89],"apply":[92],"hybrid":[94,198],"feature":[96,127,153],"selection":[97,128,154],"machine":[99,177],"methods":[101,129,155],"in":[102,260],"oral":[103,137,222,262],"cancer":[104,138,223,263],"parameters":[109],"correlation":[112],"RESULTS:":[118],"In":[119,141],"first":[121],"stage":[122],"research,":[125],"five":[126],"have":[130],"been":[131],"proposed":[132,160],"experimented":[134],"dataset.":[140],"second":[143],"stage,":[144],"model":[146,199],"features":[149,204,245],"selected":[150,244],"from":[151],"each":[152],"tested":[157],"classifiers.":[161],"Four":[162],"types":[163,188],"classifiers":[165,190],"chosen;":[167],"namely,":[170],"ANFIS,":[171],"artificial":[172],"neural":[173],"network,":[174],"support":[175],"vector":[176],"logistic":[179],"regression.":[180],"A":[181],"k-fold":[182],"cross-validation":[183],"implemented":[185],"all":[187],"due":[191],"ReliefF-GA-ANFIS":[201],"3-input":[203],"drink,":[206],"invasion":[207],"p63":[209],"achieved":[210],"best":[212],"(accuracy":[214],"=":[215,218],"93.81%;":[216],"AUC":[217],"0.90)":[219],"CONCLUSIONS:":[225],"revealed":[228],"that":[229],"superior":[233],"presence":[236],"both":[238],"investigated":[248],"further":[249],"validate":[251],"potential":[253],"signature":[259],"studies.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":30},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}