{"id":"https://openalex.org/W3083158240","doi":"https://doi.org/10.1007/978-3-030-58861-8_7","title":"Comparative Analysis of Machine Learning Algorithms for Early Prediction of Diabetes Mellitus in Women","display_name":"Comparative Analysis of Machine Learning Algorithms for Early Prediction of Diabetes Mellitus in Women","publication_year":2020,"publication_date":"2020-09-05","ids":{"openalex":"https://openalex.org/W3083158240","doi":"https://doi.org/10.1007/978-3-030-58861-8_7","mag":"3083158240"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58861-8_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58861-8_7","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","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/A5072593082","display_name":"Sumbal Malik","orcid":"https://orcid.org/0000-0003-2759-3144"},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Sumbal Malik","raw_affiliation_strings":["College of Information Technology, United Arab Emirates University, Al Ain, UAE"],"raw_orcid":"https://orcid.org/0000-0003-2759-3144","affiliations":[{"raw_affiliation_string":"College of Information Technology, United Arab Emirates University, Al Ain, UAE","institution_ids":["https://openalex.org/I201726411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035128702","display_name":"Saad Harous","orcid":"https://orcid.org/0000-0001-6524-7352"},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Saad Harous","raw_affiliation_strings":["College of Information Technology, United Arab Emirates University, Al Ain, UAE"],"raw_orcid":"https://orcid.org/0000-0001-6524-7352","affiliations":[{"raw_affiliation_string":"College of Information Technology, United Arab Emirates University, Al Ain, UAE","institution_ids":["https://openalex.org/I201726411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017149914","display_name":"Hesham El\u2010Sayed","orcid":"https://orcid.org/0000-0002-7488-0915"},"institutions":[{"id":"https://openalex.org/I201726411","display_name":"United Arab Emirates University","ror":"https://ror.org/01km6p862","country_code":"AE","type":"education","lineage":["https://openalex.org/I201726411"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Hesham El-Sayed","raw_affiliation_strings":["College of Information Technology, United Arab Emirates University, Al Ain, UAE"],"raw_orcid":"https://orcid.org/0000-0002-7488-0915","affiliations":[{"raw_affiliation_string":"College of Information Technology, United Arab Emirates University, Al Ain, UAE","institution_ids":["https://openalex.org/I201726411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072593082"],"corresponding_institution_ids":["https://openalex.org/I201726411"],"apc_list":null,"apc_paid":null,"fwci":20.8199,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.99385749,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"95","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.989300012588501,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9750999808311462,"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/machine-learning","display_name":"Machine learning","score":0.8190858364105225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7295013070106506},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7166622877120972},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6545435190200806},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6436499953269958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5701990127563477},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5552689433097839},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.5259164571762085},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47698599100112915},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.43018895387649536},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.403408020734787}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8190858364105225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7295013070106506},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7166622877120972},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6545435190200806},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6436499953269958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5701990127563477},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5552689433097839},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.5259164571762085},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47698599100112915},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.43018895387649536},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.403408020734787},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-58861-8_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58861-8_7","pdf_url":null,"source":{"id":"https://openalex.org/S4210169156","display_name":"Lecture notes in networks and systems","issn_l":"2367-3370","issn":["2367-3370","2367-3389"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Networks and Systems","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7200000286102295,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1487801850","https://openalex.org/W1535948024","https://openalex.org/W2068636224","https://openalex.org/W2090151662","https://openalex.org/W2111547563","https://openalex.org/W2148143831","https://openalex.org/W2186689138","https://openalex.org/W2768314655","https://openalex.org/W2779565479","https://openalex.org/W2807027008","https://openalex.org/W2808291159","https://openalex.org/W2900329012","https://openalex.org/W2915565833","https://openalex.org/W2918408501","https://openalex.org/W2932292895","https://openalex.org/W2936007356","https://openalex.org/W2937002248","https://openalex.org/W2954194962","https://openalex.org/W2954979616","https://openalex.org/W2962122314","https://openalex.org/W2985328577","https://openalex.org/W2986446268","https://openalex.org/W2996533187","https://openalex.org/W2997463986","https://openalex.org/W3005226684","https://openalex.org/W3006930801","https://openalex.org/W3007338402","https://openalex.org/W3007521829","https://openalex.org/W3015837202"],"related_works":["https://openalex.org/W4396689146","https://openalex.org/W4200112873","https://openalex.org/W4367336074","https://openalex.org/W2955796858","https://openalex.org/W3154045278","https://openalex.org/W4379620016","https://openalex.org/W4393666307","https://openalex.org/W3210764983","https://openalex.org/W4393443811","https://openalex.org/W4367335949"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":8}],"updated_date":"2026-06-16T09:24:06.705377","created_date":"2025-10-10T00:00:00"}