{"id":"https://openalex.org/W2093029841","doi":"https://doi.org/10.1186/1471-2105-11-453","title":"A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context","display_name":"A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context","publication_year":2010,"publication_date":"2010-09-08","ids":{"openalex":"https://openalex.org/W2093029841","doi":"https://doi.org/10.1186/1471-2105-11-453","mag":"2093029841","pmid":"https://pubmed.ncbi.nlm.nih.gov/20825661"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-11-453","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-11-453","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-453","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/10.1186/1471-2105-11-453","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045630754","display_name":"Ioannis Valavanis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis K Valavanis","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str, 15780 Zografos, Athens, Greece. ivalavan@biosim.ntua.gr","School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografos, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str, 15780 Zografos, Athens, Greece. ivalavan@biosim.ntua.gr","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografos, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033248976","display_name":"Stavroula Mougiakakou","orcid":"https://orcid.org/0000-0002-6355-9982"},"institutions":[{"id":"https://openalex.org/I118564535","display_name":"University of Bern","ror":"https://ror.org/02k7v4d05","country_code":"CH","type":"education","lineage":["https://openalex.org/I118564535"]},{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]},{"id":"https://openalex.org/I2801112126","display_name":"University Hospital of Bern","ror":"https://ror.org/01q9sj412","country_code":"CH","type":"healthcare","lineage":["https://openalex.org/I2801112126"]}],"countries":["CH","GR"],"is_corresponding":false,"raw_author_name":"Stavroula G Mougiakakou","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografos, Athens, Greece","University Hospital - Inselspital - University of Bern, Division of Endocrinology, Diabetes and Clinical Nutrition, 3010, Bern, Switzerland","University of Bern, Medical School, ARTORG Center for Biomedical Engineering Research, Stauffacherstrasse 78, 3014, Bern, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografos, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"University Hospital - Inselspital - University of Bern, Division of Endocrinology, Diabetes and Clinical Nutrition, 3010, Bern, Switzerland","institution_ids":["https://openalex.org/I2801112126"]},{"raw_affiliation_string":"University of Bern, Medical School, ARTORG Center for Biomedical Engineering Research, Stauffacherstrasse 78, 3014, Bern, Switzerland","institution_ids":["https://openalex.org/I118564535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045722216","display_name":"Keith Grimaldi","orcid":"https://orcid.org/0000-0003-2271-5990"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keith A Grimaldi","raw_affiliation_strings":["Sciona, Inc., 12635 E. Montview Blvd. #217, Aurora, CO, 80045-7337, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sciona, Inc., 12635 E. Montview Blvd. #217, Aurora, CO, 80045-7337, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082313849","display_name":"Konstantina S. Nikita","orcid":"https://orcid.org/0000-0001-8255-4354"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantina S Nikita","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografos, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780, Zografos, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045630754"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":1.2286,"has_fulltext":true,"cited_by_count":44,"citation_normalized_percentile":{"value":0.81085732,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"1","first_page":"453","last_page":"453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13984","display_name":"Nutrition, Genetics, and Disease","score":0.4991999864578247,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T13984","display_name":"Nutrition, Genetics, and Disease","score":0.4991999864578247,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.2784000039100647,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10528","display_name":"Adipokines, Inflammation, and Metabolic Diseases","score":0.026900000870227814,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/context","display_name":"Context (archaeology)","score":0.6678375005722046},{"id":"https://openalex.org/keywords/obesity","display_name":"Obesity","score":0.5316722393035889},{"id":"https://openalex.org/keywords/risk-factor","display_name":"Risk factor","score":0.5294941067695618},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4746171534061432},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.46504345536231995},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3212037682533264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29070982336997986},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.27240297198295593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17168903350830078},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.1673610806465149}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6678375005722046},{"id":"https://openalex.org/C511355011","wikidata":"https://www.wikidata.org/wiki/Q12174","display_name":"Obesity","level":2,"score":0.5316722393035889},{"id":"https://openalex.org/C50440223","wikidata":"https://www.wikidata.org/wiki/Q1475848","display_name":"Risk factor","level":2,"score":0.5294941067695618},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4746171534061432},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.46504345536231995},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3212037682533264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29070982336997986},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.27240297198295593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17168903350830078},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1673610806465149},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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":"D002149","descriptor_name":"Energy Intake","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002149","descriptor_name":"Energy Intake","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002149","descriptor_name":"Energy Intake","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D002318","descriptor_name":"Cardiovascular Diseases","qualifier_ui":"Q000209","qualifier_name":"etiology","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":"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":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","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":"D014644","descriptor_name":"Genetic Variation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014644","descriptor_name":"Genetic Variation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014644","descriptor_name":"Genetic Variation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015596","descriptor_name":"Nutrition Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015596","descriptor_name":"Nutrition Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015596","descriptor_name":"Nutrition Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015992","descriptor_name":"Body Mass Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015992","descriptor_name":"Body Mass Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015992","descriptor_name":"Body Mass Index","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":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D044465","descriptor_name":"White People","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D044465","descriptor_name":"White People","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D044465","descriptor_name":"White People","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D054647","descriptor_name":"Nutrigenomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D054647","descriptor_name":"Nutrigenomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D054647","descriptor_name":"Nutrigenomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","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":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1186/1471-2105-11-453","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-11-453","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-453","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:20825661","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20825661","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:boris.unibe.ch:3476","is_oa":true,"landing_page_url":"https://boris.unibe.ch/3476/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401747","display_name":"BORIS (University Library Bern)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210103840","host_organization_name":"Nakuru County Council","host_organization_lineage":["https://openalex.org/I4210103840"],"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":"Valavanis, Ioannis K; Mougiakakou, Stavroula G; Grimaldi, Keith A; Nikita, Konstantina S (2010). A multifactorial analysis of obesity as CVD risk factor: use of neural network based methods in a nutrigenetics context. BMC bioinformatics, 11, p. 453. London: BioMed Central 10.1186/1471-2105-11-453 <http://dx.doi.org/10.1186/1471-2105-11-453>","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:623ccd566d1b447292304decb01dc678","is_oa":true,"landing_page_url":"https://doaj.org/article/623ccd566d1b447292304decb01dc678","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,"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":"BMC Bioinformatics, Vol 11, Iss 1, p 453 (2010)","raw_type":"article"},{"id":"pmh:oai:dspace.lib.ntua.gr:123456789/20147","is_oa":true,"landing_page_url":"http://doi.org/10.1186/1471-2105-11-453","pdf_url":null,"source":{"id":"https://openalex.org/S4377196837","display_name":"DSpace - NTUA (National Technical University of Athens)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174458059","host_organization_name":"National Technical University of Athens","host_organization_lineage":["https://openalex.org/I174458059"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pubmedcentral.nih.gov:2941694","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2941694","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:10.1186/1471-2105-11-453","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-11-453","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-453","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321916","display_name":"State Scholarships Foundation","ror":"https://ror.org/023z3dm33"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2093029841.pdf","grobid_xml":"https://content.openalex.org/works/W2093029841.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W653638584","https://openalex.org/W1502653371","https://openalex.org/W1521237785","https://openalex.org/W1639032689","https://openalex.org/W1786104672","https://openalex.org/W1968579636","https://openalex.org/W1971106925","https://openalex.org/W1982383229","https://openalex.org/W1985102025","https://openalex.org/W1999236191","https://openalex.org/W2009969871","https://openalex.org/W2013271332","https://openalex.org/W2013507406","https://openalex.org/W2026155675","https://openalex.org/W2032180763","https://openalex.org/W2042308063","https://openalex.org/W2044580518","https://openalex.org/W2061133004","https://openalex.org/W2064127486","https://openalex.org/W2064954710","https://openalex.org/W2080418085","https://openalex.org/W2085739707","https://openalex.org/W2086099578","https://openalex.org/W2089112228","https://openalex.org/W2091548875","https://openalex.org/W2097364929","https://openalex.org/W2112621713","https://openalex.org/W2113374208","https://openalex.org/W2114001895","https://openalex.org/W2122326411","https://openalex.org/W2123671684","https://openalex.org/W2124728532","https://openalex.org/W2124776405","https://openalex.org/W2131414141","https://openalex.org/W2131878646","https://openalex.org/W2138956360","https://openalex.org/W2139315574","https://openalex.org/W2147688724","https://openalex.org/W2150531171","https://openalex.org/W2152370637","https://openalex.org/W2154572047","https://openalex.org/W2157812291","https://openalex.org/W2166431807","https://openalex.org/W2505603063","https://openalex.org/W2799445215","https://openalex.org/W2898106971","https://openalex.org/W3023540311","https://openalex.org/W4297572109"],"related_works":["https://openalex.org/W4381470518","https://openalex.org/W4382631096","https://openalex.org/W3116387307","https://openalex.org/W198362155","https://openalex.org/W2019858852","https://openalex.org/W3209564489","https://openalex.org/W2352311653","https://openalex.org/W2013517412","https://openalex.org/W4313341288","https://openalex.org/W1486306395"],"abstract_inverted_index":{"BACKGROUND:":[0],"Obesity":[1],"is":[2,22],"a":[3,47,58,66,138,144,151,157,203,283,312],"multifactorial":[4],"trait,":[5],"which":[6,161],"comprises":[7],"an":[8],"independent":[9],"risk":[10],"factor":[11],"for":[12,329],"cardiovascular":[13],"disease":[14],"(CVD).":[15],"The":[16,215,254,276,295],"aim":[17],"of":[18,49,68,130,180,207,258,287,332,338],"the":[19,25,128,131,166,185,190,208,249,263,290,330,336],"current":[20],"work":[21],"to":[23,37,41,75,101,136,183,201,247,304],"study":[24,60,331],"complex":[26,333],"etiology":[27],"beneath":[28],"obesity":[29,305],"and":[30,81,92,125,149,165,173,198,213,219,224,238,266,272,307,322],"identify":[31,184],"genetic":[32,72,163,195,270],"variations":[33,271],"and/or":[34],"factors":[35,70,188,259,300],"related":[36,74,210],"nutrition":[38,82,197],"that":[39,301,320],"contribute":[40,303],"its":[42],"variability.":[43],"To":[44],"this":[45],"end,":[46],"set":[48,257],"more":[50],"than":[51],"2300":[52],"white":[53],"subjects":[54],"who":[55],"participated":[56],"in":[57,78,84,90,178,289,335],"nutrigenetics":[59],"was":[61,98,260,280],"used.":[62],"For":[63],"each":[64],"subject":[65,97,204],"total":[67],"63":[69,192],"describing":[71,194],"variants":[73],"CVD":[76],"(24":[77],"total),":[79,85],"gender,":[80,199,268],"(38":[83],"e.g.":[86],"average":[87],"daily":[88],"intake":[89],"calories":[91],"cholesterol,":[93],"were":[94,123,175,217,245],"measured.":[95],"Each":[96],"categorized":[99],"according":[100],"body":[102],"mass":[103],"index":[104],"(BMI)":[105],"as":[106],"normal":[107,212],"(BMI":[108,113],"\u2264":[109],"25)":[110],"or":[111],"overweight":[112],">":[114],"25).":[115],"Two":[116],"artificial":[117],"neural":[118],"network":[119],"(ANN)":[120],"based":[121,297],"methods":[122,216,298],"designed":[124,218],"used":[126],"towards":[127],"analysis":[129],"available":[132],"data.":[133],"These":[134],"corresponded":[135],"i)":[137],"multi-layer":[139,152],"feed-forward":[140,153],"ANN":[141,154,252,296],"combined":[142],"with":[143,311],"parameter":[145],"decreasing":[146],"method":[147,159,265],"(PDM-ANN),":[148],"ii)":[150],"trained":[155],"by":[156,228,262,282],"hybrid":[158],"(GA-ANN)":[160],"combines":[162],"algorithms":[164],"popular":[167],"back-propagation":[168],"training":[169,223],"algorithm.":[170],"RESULTS:":[171],"PDM-ANN":[172],"GA-ANN":[174,264],"comparatively":[176],"assessed":[177],"terms":[179],"their":[181,323],"ability":[182],"most":[186,255],"important":[187],"among":[189],"initial":[191],"variables":[193],"variations,":[196],"able":[200],"classify":[202],"into":[205],"one":[206],"BMI":[209],"classes:":[211],"overweight.":[214],"evaluated":[220],"using":[221],"appropriate":[222],"testing":[225,292],"sets":[226],"provided":[227,308],"3-fold":[229],"Cross":[230],"Validation":[231],"(3-CV)":[232],"resampling.":[233],"Classification":[234],"accuracy,":[235],"sensitivity,":[236],"specificity":[237],"area":[239],"under":[240],"receiver":[241],"operating":[242],"characteristics":[243],"curve":[244],"utilized":[246],"evaluate":[248],"resulted":[250],"predictive":[251,278,309],"models.":[253],"parsimonious":[256],"obtained":[261],"included":[267],"six":[269],"18":[273],"nutrition-related":[274],"variables.":[275],"corresponding":[277],"model":[279],"characterized":[281],"mean":[284],"accuracy":[285],"equal":[286],"61.46%":[288],"3-CV":[291],"sets.":[293],"CONCLUSIONS:":[294],"revealed":[299],"interactively":[302],"trait":[306],"models":[310],"promising":[313],"generalization":[314],"ability.":[315],"In":[316],"general,":[317],"results":[318],"showed":[319],"ANNs":[321],"hybrids":[324],"can":[325],"provide":[326],"useful":[327],"tools":[328],"traits":[334],"context":[337],"nutrigenetics.":[339]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}