{"id":"https://openalex.org/W4281710730","doi":"https://doi.org/10.1145/3523286.3524531","title":"Correlation analysis of blood lipid metabolism level and stomach cancer based on information system health data","display_name":"Correlation analysis of blood lipid metabolism level and stomach cancer based on information system health data","publication_year":2022,"publication_date":"2022-01-21","ids":{"openalex":"https://openalex.org/W4281710730","doi":"https://doi.org/10.1145/3523286.3524531"},"language":"en","primary_location":{"id":"doi:10.1145/3523286.3524531","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523286.3524531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5058445933","display_name":"YuXin Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"YuXin Li","raw_affiliation_strings":["Qingdao West Coast New District People's Hospital, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingdao West Coast New District People's Hospital, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046593960","display_name":"Yong Feng","orcid":"https://orcid.org/0000-0003-3940-1429"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Feng","raw_affiliation_strings":["Qingdao West Coast New District People's Hospital, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingdao West Coast New District People's Hospital, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03097345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"139","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12465","display_name":"Cancer, Lipids, and Metabolism","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T12465","display_name":"Cancer, Lipids, and Metabolism","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T11355","display_name":"Inflammatory Biomarkers in Disease Prognosis","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9754999876022339,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stomach-cancer","display_name":"Stomach cancer","score":0.8214961290359497},{"id":"https://openalex.org/keywords/stomach","display_name":"Stomach","score":0.7665160894393921},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.685726523399353},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6127444505691528},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.5537871718406677},{"id":"https://openalex.org/keywords/blood-lipids","display_name":"Blood lipids","score":0.49254903197288513},{"id":"https://openalex.org/keywords/incidence","display_name":"Incidence (geometry)","score":0.48654690384864807},{"id":"https://openalex.org/keywords/triglyceride","display_name":"Triglyceride","score":0.44060230255126953},{"id":"https://openalex.org/keywords/apolipoprotein-b","display_name":"Apolipoprotein B","score":0.4110882580280304},{"id":"https://openalex.org/keywords/gastroenterology","display_name":"Gastroenterology","score":0.4078948497772217},{"id":"https://openalex.org/keywords/cholesterol","display_name":"Cholesterol","score":0.36732393503189087}],"concepts":[{"id":"https://openalex.org/C2779454504","wikidata":"https://www.wikidata.org/wiki/Q189588","display_name":"Stomach cancer","level":3,"score":0.8214961290359497},{"id":"https://openalex.org/C2779422922","wikidata":"https://www.wikidata.org/wiki/Q1029907","display_name":"Stomach","level":2,"score":0.7665160894393921},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.685726523399353},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6127444505691528},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.5537871718406677},{"id":"https://openalex.org/C139572402","wikidata":"https://www.wikidata.org/wiki/Q4927820","display_name":"Blood lipids","level":3,"score":0.49254903197288513},{"id":"https://openalex.org/C61511704","wikidata":"https://www.wikidata.org/wiki/Q1671857","display_name":"Incidence (geometry)","level":2,"score":0.48654690384864807},{"id":"https://openalex.org/C2778913445","wikidata":"https://www.wikidata.org/wiki/Q186319","display_name":"Triglyceride","level":3,"score":0.44060230255126953},{"id":"https://openalex.org/C62746215","wikidata":"https://www.wikidata.org/wiki/Q14890615","display_name":"Apolipoprotein B","level":3,"score":0.4110882580280304},{"id":"https://openalex.org/C90924648","wikidata":"https://www.wikidata.org/wiki/Q120569","display_name":"Gastroenterology","level":1,"score":0.4078948497772217},{"id":"https://openalex.org/C2778163477","wikidata":"https://www.wikidata.org/wiki/Q43656","display_name":"Cholesterol","level":2,"score":0.36732393503189087},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523286.3524531","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523286.3524531","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2079188947","https://openalex.org/W2095725724","https://openalex.org/W2138331892","https://openalex.org/W2794641472"],"related_works":["https://openalex.org/W2381847116","https://openalex.org/W18400627","https://openalex.org/W2379937732","https://openalex.org/W2884448048","https://openalex.org/W2414453218","https://openalex.org/W4388187524","https://openalex.org/W1992575613","https://openalex.org/W4282976145","https://openalex.org/W2350948998","https://openalex.org/W2408961303"],"abstract_inverted_index":{"Stomach":[0],"cancer":[1,22,91,106,124,168,201,214],"used":[2],"to":[3,66,136],"be":[4,67],"the":[5,13,18,29,37,45,53,57,70,96,111,128,137,143,150,158,161,206,224],"most":[6,38],"common":[7,39],"tumor":[8],"in":[9,28,42,49,190,199,208,230],"humans":[10],"all":[11],"over":[12],"world.":[14],"In":[15,93,117,153],"recent":[16],"decades,":[17],"incidence":[19,46],"of":[20,36,56,72,76,101,113,166,227,234,240,246,250,253],"stomach":[21,90,105,123,167,200,213,241],"has":[23],"shown":[24],"a":[25,73,82],"downward":[26],"trend":[27],"world,":[30],"but":[31],"it":[32,173,232],"was":[33,47,174],"still":[34],"one":[35],"malignant":[40],"tumors":[41],"humans,":[43],"and":[44,89,104,131,170,187,216,248],"highest":[48],"East":[50],"Asia.":[51],"With":[52,69],"continuous":[54],"improvement":[55,245,249],"hospital":[58,138],"information":[59],"system,":[60],"clinical":[61],"health":[62,77,115,140],"data":[63,84,165],"will":[64],"continue":[65],"accumulated.":[68],"help":[71,112],"large":[74],"amount":[75],"data,":[78],"we":[79],"can":[80],"make":[81],"comprehensive":[83],"comparison":[85],"between":[86,160,212],"healthy":[87,102,171,192,217],"people":[88,103,193,218],"patients.":[92,202],"this":[94,118,154,204],"study,":[95,119,155,205],"blood":[97,162,209,228],"lipid":[98,163,210],"metabolism":[99,211],"levels":[100],"patients":[107,121,133,169,215],"were":[108,125,146,194,219],"compared":[109],"with":[110,122],"medical":[114],"data.":[116],"650":[120],"selected":[126,148],"as":[127,149],"experimental":[129],"group,":[130],"1165":[132],"who":[134],"went":[135],"for":[139,237],"check-ups":[141],"during":[142],"same":[144],"period":[145],"also":[147],"control":[151],"group.":[152],"by":[156],"analyzing":[157],"correlation":[159],"detection":[164],"people,":[172],"found":[175],"that,":[176],"serum":[177],"total":[178],"cholesterol,":[179],"triglyceride,":[180],"high-density":[181],"lipoprotein,":[182,184],"low-density":[183],"apolipoprotein":[185,188],"AI":[186],"B":[189],"normal":[191],"significantly":[195],"higher":[196],"than":[197],"those":[198],"Through":[203],"differences":[207],"further":[220],"clarified.":[221],"By":[222],"evaluating":[223],"metabolic":[225],"level":[226],"lipids":[229],"patients,":[231],"is":[233],"great":[235],"significance":[236],"early":[238],"screening":[239],"cancer,":[242],"nutritional":[243],"treatment,":[244],"prognosis,":[247],"patients'":[251],"quality":[252],"life.":[254]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}