{"id":"https://openalex.org/W2741599732","doi":"https://doi.org/10.1007/978-3-319-62428-0_5","title":"An Efficient Expert System for Diabetes with a Bayesian Inference Engine","display_name":"An Efficient Expert System for Diabetes with a Bayesian Inference Engine","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2741599732","doi":"https://doi.org/10.1007/978-3-319-62428-0_5","mag":"2741599732"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-62428-0_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-62428-0_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5024551062","display_name":"Viridiana Cruz-Guti\u00e9rrez","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Viridiana Cruz-Guti\u00e9rrez","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, 4 sur 104 Centro Hist\u00f3rico, 72000, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, 4 sur 104 Centro Hist\u00f3rico, 72000, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038205078","display_name":"Mario Alberto Posada-Zamora","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Mario Alberto Posada-Zamora","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, 4 sur 104 Centro Hist\u00f3rico, 72000, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, 4 sur 104 Centro Hist\u00f3rico, 72000, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091378066","display_name":"Abraham S\u00e1nchez-L\u00f3pez","orcid":null},"institutions":[{"id":"https://openalex.org/I721619","display_name":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla","ror":"https://ror.org/03p2z7827","country_code":"MX","type":"education","lineage":["https://openalex.org/I721619"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Abraham S\u00e1nchez-L\u00f3pez","raw_affiliation_strings":["Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, 4 sur 104 Centro Hist\u00f3rico, 72000, Puebla, Mexico"],"affiliations":[{"raw_affiliation_string":"Benem\u00e9rita Universidad Aut\u00f3noma de Puebla, 4 sur 104 Centro Hist\u00f3rico, 72000, Puebla, Mexico","institution_ids":["https://openalex.org/I721619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024551062"],"corresponding_institution_ids":["https://openalex.org/I721619"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2826,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56886884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9623000025749207,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.7902399301528931},{"id":"https://openalex.org/keywords/gestational-diabetes","display_name":"Gestational diabetes","score":0.6734136343002319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5999114513397217},{"id":"https://openalex.org/keywords/expert-system","display_name":"Expert system","score":0.5799216032028198},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.56852787733078},{"id":"https://openalex.org/keywords/prediabetes","display_name":"Prediabetes","score":0.5580240488052368},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.5434127449989319},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5062019228935242},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48558658361434937},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.457919716835022},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4317023456096649},{"id":"https://openalex.org/keywords/type-2-diabetes","display_name":"Type 2 diabetes","score":0.41719844937324524},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3357478380203247},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.09126636385917664},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.08873030543327332},{"id":"https://openalex.org/keywords/gestation","display_name":"Gestation","score":0.0800626277923584}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7902399301528931},{"id":"https://openalex.org/C2779434492","wikidata":"https://www.wikidata.org/wiki/Q126691","display_name":"Gestational diabetes","level":4,"score":0.6734136343002319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5999114513397217},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.5799216032028198},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.56852787733078},{"id":"https://openalex.org/C2779668308","wikidata":"https://www.wikidata.org/wiki/Q2087205","display_name":"Prediabetes","level":4,"score":0.5580240488052368},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.5434127449989319},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5062019228935242},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48558658361434937},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.457919716835022},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4317023456096649},{"id":"https://openalex.org/C2777180221","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 diabetes","level":3,"score":0.41719844937324524},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3357478380203247},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.09126636385917664},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.08873030543327332},{"id":"https://openalex.org/C46973012","wikidata":"https://www.wikidata.org/wiki/Q28627","display_name":"Gestation","level":3,"score":0.0800626277923584},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-62428-0_5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-62428-0_5","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W190105792","https://openalex.org/W624372081","https://openalex.org/W1817561967","https://openalex.org/W2048817927","https://openalex.org/W2071458777","https://openalex.org/W2080828514","https://openalex.org/W2098671713","https://openalex.org/W2110268362","https://openalex.org/W2201823697","https://openalex.org/W2280911938","https://openalex.org/W2336446591","https://openalex.org/W2751902435","https://openalex.org/W2915878007","https://openalex.org/W4313729819"],"related_works":["https://openalex.org/W3112092542","https://openalex.org/W2576952456","https://openalex.org/W2617115970","https://openalex.org/W2030629278","https://openalex.org/W2079976467","https://openalex.org/W2018344106","https://openalex.org/W2395092600","https://openalex.org/W2230180865","https://openalex.org/W2898887610","https://openalex.org/W4243396974"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}