{"id":"https://openalex.org/W1966484114","doi":"https://doi.org/10.1109/bmei.2011.6098318","title":"Support Vector Regression for quantitative determination of human chorionic gonadotropin concentration from gold immunochromatographic strip","display_name":"Support Vector Regression for quantitative determination of human chorionic gonadotropin concentration from gold immunochromatographic strip","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1966484114","doi":"https://doi.org/10.1109/bmei.2011.6098318","mag":"1966484114"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2011.6098318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106408866","display_name":"Jiang Haiyan","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiang Haiyan","raw_affiliation_strings":["College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China","[College of electrical engineering & automation, FUZHOU university, Fuzhou, China]"],"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"[College of electrical engineering & automation, FUZHOU university, Fuzhou, China]","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038610209","display_name":"Dai Min","orcid":null},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"D U Min","raw_affiliation_strings":["College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","[College of Physics & Information Engineering, Fuzhou University, Fuzhou, China]"],"affiliations":[{"raw_affiliation_string":"College of Physics and Information Engineering, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"[College of Physics & Information Engineering, Fuzhou University, Fuzhou, China]","institution_ids":["https://openalex.org/I80947539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5106408866"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13420751,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"173","issue":null,"first_page":"518","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11495","display_name":"Animal Virus Infections Studies","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11495","display_name":"Animal Virus Infections Studies","score":0.9563000202178955,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9449999928474426,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/human-chorionic-gonadotropin","display_name":"Human chorionic gonadotropin","score":0.7124912738800049},{"id":"https://openalex.org/keywords/strips","display_name":"STRIPS","score":0.6493033170700073},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.643700122833252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4477100074291229},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4291987419128418},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3453756272792816},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30715563893318176},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.23288467526435852},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17907920479774475},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.06040731072425842}],"concepts":[{"id":"https://openalex.org/C2775948956","wikidata":"https://www.wikidata.org/wiki/Q407172","display_name":"Human chorionic gonadotropin","level":3,"score":0.7124912738800049},{"id":"https://openalex.org/C200925200","wikidata":"https://www.wikidata.org/wiki/Q7624170","display_name":"STRIPS","level":2,"score":0.6493033170700073},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.643700122833252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4477100074291229},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4291987419128418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3453756272792816},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30715563893318176},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.23288467526435852},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17907920479774475},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.06040731072425842},{"id":"https://openalex.org/C71315377","wikidata":"https://www.wikidata.org/wiki/Q11364","display_name":"Hormone","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2011.6098318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2011.6098318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W157283203","https://openalex.org/W1971658945","https://openalex.org/W1983564464","https://openalex.org/W1986278262","https://openalex.org/W2014335080","https://openalex.org/W2054512892","https://openalex.org/W2066658196","https://openalex.org/W2078849853","https://openalex.org/W2116268169","https://openalex.org/W2156909104","https://openalex.org/W2163500463","https://openalex.org/W2166749753","https://openalex.org/W2544993292","https://openalex.org/W4206686222","https://openalex.org/W4238156817"],"related_works":["https://openalex.org/W2901417011","https://openalex.org/W4231339125","https://openalex.org/W2162386635","https://openalex.org/W2037849396","https://openalex.org/W2332845118","https://openalex.org/W1995806980","https://openalex.org/W2099673128","https://openalex.org/W2618026438","https://openalex.org/W3103535007","https://openalex.org/W2139963745"],"abstract_inverted_index":{"There":[0],"are":[1,94,111],"several":[2],"methods":[3],"for":[4,96,113],"quantitative":[5,64],"determination":[6,65],"of":[7,22,67,129],"human":[8],"chorionic":[9],"gonadotropin":[10],"(hCG),":[11],"among":[12],"these":[13],"methods,":[14],"the":[15,20,49,54,80,84,86,101,104,120,126,130,152],"gold":[16],"immunochromatographic":[17,69],"assay":[18,33,70],"has":[19],"advantages":[21],"simple":[23],"operation,":[24],"low":[25],"costs":[26],"and":[27,53,146],"short":[28],"operation":[29],"time.":[30],"However,":[31],"this":[32,59,73],"can":[34],"only":[35],"get":[36],"qualitative":[37],"or":[38],"semi-quantitative":[39],"results":[40,117],"when":[41],"observed":[42],"directly":[43],"with":[44],"naked":[45],"eyes.":[46],"By":[47],"combining":[48],"fuzzy":[50],"C-means":[51],"algorithm":[52],"Support":[55],"Vector":[56],"Regression":[57],"(SVR),":[58],"paper":[60],"presents":[61],"a":[62,123],"rapid":[63],"method":[66,140],"hCG":[68,81],"strip.":[71],"In":[72,83],"paper,":[74],"SVR":[75,97,121],"is":[76,133,137,141],"used":[77,95,112],"to":[78,143],"predict":[79],"concentration.":[82],"experiment,":[85],"data":[87,105],"derived":[88,106],"from":[89,107],"35":[90],"strips":[91,110,132],"CCD":[92],"image":[93],"model":[98,114],"training;":[99],"on":[100],"other":[102,108],"hand,":[103],"18":[109,131],"testing.":[115],"The":[116,135],"show":[118],"that":[119],"yields":[122],"good":[124],"result,":[125],"total":[127],"MSE":[128],"10.2.":[134],"CV":[136],"7.07%.":[138],"This":[139],"proved":[142],"be":[144],"practical":[145],"objective,":[147],"as":[148,150],"well":[149],"enhances":[151],"detection":[153],"sensitivity":[154],"in":[155],"some":[156],"extent.":[157]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
