{"id":"https://openalex.org/W4404522158","doi":"https://doi.org/10.2478/arsm-2024-0007","title":"Statistical and Machine Learning-Based Predictive Models for Gestational Diabetes Mellitus Prevention","display_name":"Statistical and Machine Learning-Based Predictive Models for Gestational Diabetes Mellitus Prevention","publication_year":2024,"publication_date":"2024-05-01","ids":{"openalex":"https://openalex.org/W4404522158","doi":"https://doi.org/10.2478/arsm-2024-0007"},"language":"en","primary_location":{"id":"doi:10.2478/arsm-2024-0007","doi":"https://doi.org/10.2478/arsm-2024-0007","is_oa":true,"landing_page_url":"https://doi.org/10.2478/arsm-2024-0007","pdf_url":"https://reference-global.com/2/v2/download/article/10.2478/arsm-2024-0007.pdf","source":{"id":"https://openalex.org/S2737262213","display_name":"Ars medica tomitana","issn_l":"1223-9666","issn":["1223-9666","1841-4036"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ARS Medica Tomitana","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://reference-global.com/2/v2/download/article/10.2478/arsm-2024-0007.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043423999","display_name":"Hanane Zermane","orcid":"https://orcid.org/0000-0003-4167-2578","observed_orcids":["https://orcid.org/0000-0003-4167-2578"]},"institutions":[{"id":"https://openalex.org/I4387153399","display_name":"University of Batna 2","ror":"https://ror.org/02yvp6477","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4387153399"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Hanane Zermane","raw_affiliation_strings":["Laboratory of Automation and Manufacturing , Industrial Engineering Department, Batna 2 University , Batna , Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Automation and Manufacturing , Industrial Engineering Department, Batna 2 University , Batna , Algeria","institution_ids":["https://openalex.org/I4387153399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042041257","display_name":"Adel Kalla","orcid":"https://orcid.org/0000-0001-7683-8721","observed_orcids":["https://orcid.org/0000-0001-7683-8721"]},"institutions":[{"id":"https://openalex.org/I4387153399","display_name":"University of Batna 2","ror":"https://ror.org/02yvp6477","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4387153399"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Adel Kalla","raw_affiliation_strings":["Laboratory of Biotechnology of Bioactive Molecules and Cellular Pathophysiology , Microbiology and Biochemistry Department, Batna 2 University , Batna , Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Biotechnology of Bioactive Molecules and Cellular Pathophysiology , Microbiology and Biochemistry Department, Batna 2 University , Batna , Algeria","institution_ids":["https://openalex.org/I4387153399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4387153399"],"apc_list":null,"apc_paid":null,"fwci":0.426,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61378137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"30","issue":"2","first_page":"38","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9980000257492065,"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":0.9980000257492065,"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/T10673","display_name":"Gestational Diabetes Research and Management","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":9.999999747378752e-05,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gestational-diabetes-mellitus","display_name":"gestational diabetes mellitus","score":1.0},{"id":"https://openalex.org/keywords/risk-factors","display_name":"risk factors","score":0.5809999704360962},{"id":"https://openalex.org/keywords/predictive-modeling","display_name":"predictive modeling","score":0.7099999785423279},{"id":"https://openalex.org/keywords/pima-indians-diabetes-dataset","display_name":"Pima Indians diabetes dataset","score":0.8619999885559082},{"id":"https://openalex.org/keywords/cascade-classifier","display_name":"cascade classifier","score":0.9359999895095825},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9980000257492065},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.9779999852180481},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.9769999980926514},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.9480000138282776},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.9810000061988831},{"id":"https://openalex.org/keywords/model-comparison","display_name":"model comparison","score":0.5830000042915344}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.8907370567321777},{"id":"https://openalex.org/C2779434492","wikidata":"https://www.wikidata.org/wiki/Q126691","display_name":"Gestational diabetes","level":4,"score":0.7624555230140686},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.5814082622528076},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4958969056606293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41944754123687744},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.22972938418388367},{"id":"https://openalex.org/C46973012","wikidata":"https://www.wikidata.org/wiki/Q28627","display_name":"Gestation","level":3,"score":0.112977534532547},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.09305837750434875},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.09201979637145996},{"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:10.2478/arsm-2024-0007","doi":"https://doi.org/10.2478/arsm-2024-0007","is_oa":true,"landing_page_url":"https://doi.org/10.2478/arsm-2024-0007","pdf_url":"https://reference-global.com/2/v2/download/article/10.2478/arsm-2024-0007.pdf","source":{"id":"https://openalex.org/S2737262213","display_name":"Ars medica tomitana","issn_l":"1223-9666","issn":["1223-9666","1841-4036"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ARS Medica Tomitana","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.2478/arsm-2024-0007","doi":"https://doi.org/10.2478/arsm-2024-0007","is_oa":true,"landing_page_url":"https://doi.org/10.2478/arsm-2024-0007","pdf_url":"https://reference-global.com/2/v2/download/article/10.2478/arsm-2024-0007.pdf","source":{"id":"https://openalex.org/S2737262213","display_name":"Ars medica tomitana","issn_l":"1223-9666","issn":["1223-9666","1841-4036"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["poland-20"],"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ARS Medica Tomitana","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9922999739646912,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404522158.pdf","grobid_xml":"https://content.openalex.org/works/W4404522158.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1574496672","https://openalex.org/W1602443498","https://openalex.org/W1605688901","https://openalex.org/W1986867175","https://openalex.org/W2018246897","https://openalex.org/W2061303373","https://openalex.org/W2077779234","https://openalex.org/W2091967951","https://openalex.org/W2100693757","https://openalex.org/W2132319148","https://openalex.org/W2145658980","https://openalex.org/W2156909104","https://openalex.org/W2158353503","https://openalex.org/W2165376032","https://openalex.org/W2291173049","https://openalex.org/W2310437554","https://openalex.org/W2498119267","https://openalex.org/W2575304287","https://openalex.org/W2752820248","https://openalex.org/W2753920499","https://openalex.org/W2791336924","https://openalex.org/W2794545703","https://openalex.org/W2804354698","https://openalex.org/W2891066988","https://openalex.org/W2897010706","https://openalex.org/W2898266729","https://openalex.org/W2910587056","https://openalex.org/W2911964244","https://openalex.org/W2922390398","https://openalex.org/W2936596355","https://openalex.org/W2940130013","https://openalex.org/W2946869992","https://openalex.org/W2961520387","https://openalex.org/W2964876838","https://openalex.org/W2992178815","https://openalex.org/W2997697222","https://openalex.org/W3038003980","https://openalex.org/W3094478020","https://openalex.org/W3097220695","https://openalex.org/W3137201941","https://openalex.org/W3138020339","https://openalex.org/W3204197820","https://openalex.org/W3207676440","https://openalex.org/W4226119957","https://openalex.org/W4232714830","https://openalex.org/W4240989617","https://openalex.org/W4256049924","https://openalex.org/W4310211364"],"related_works":["https://openalex.org/W7165387487","https://openalex.org/W7090194364","https://openalex.org/W4408154319","https://openalex.org/W4408161875","https://openalex.org/W7131145353","https://openalex.org/W7127956053","https://openalex.org/W4381839346","https://openalex.org/W4393981499","https://openalex.org/W4321184622","https://openalex.org/W2986361620"],"abstract_inverted_index":{"Abstract":[0],"The":[1,68,170],"focus":[2],"of":[3,38,81,97,124,149,155,167,177],"this":[4,72],"paper":[5],"is":[6,26,33,74,88,159],"to":[7,11,53,57,90,110],"use":[8],"machine":[9,105,150],"learning":[10,106,151],"create":[12],"predictive":[13,66],"models":[14,93,107,119,194],"that":[15,94,161,205],"detect":[16],"the":[17,61,75,79,115,134,141,147,153],"probable":[18],"factors":[19,45,55,208],"impacting":[20],"Gestational":[21],"Diabetes":[22],"Mellitus":[23],"(GDM)":[24],"which":[25,112],"developed":[27,41],"in":[28,71,152],"some":[29],"pregnant":[30],"women.":[31],"GDM":[32,48,58],"defined":[34],"as":[35],"any":[36],"proportion":[37],"glucose":[39],"intolerance":[40],"during":[42],"pregnancy.":[43],"Several":[44],"may":[46],"cause":[47],"complications.":[49],"Here,":[50],"we":[51],"aimed":[52],"identify":[54],"predisposing":[56],"and":[59,84,129,189,197],"predict":[60],"occurrence":[62],"based":[63],"on":[64,100,133],"several":[65,200],"models.":[67],"dataset":[69,116],"used":[70],"study":[73,145],"Pima":[76],"Indian.":[77],"With":[78],"assistance":[80],"Machine":[82],"Learning":[83],"Statistical":[85,127],"Analysis,":[86],"it":[87],"possible":[89],"develop":[91],"intelligent":[92],"are":[95,195],"capable":[96],"making":[98],"decisions":[99],"an":[101,175],"autonomous":[102],"basis.":[103],"Seven":[104],"were":[108],"tested":[109],"determine":[111],"model":[113,173],"fits":[114],"better.":[117],"These":[118,193],"learn":[120],"from":[121],"past":[122],"instances":[123],"data":[125],"through":[126],"Analysis":[128],"pattern":[130],"matching.":[131],"Based":[132],"learned":[135],"data,":[136],"they":[137],"provide":[138],"us":[139],"with":[140],"predicted":[142],"results.":[143],"This":[144,202],"establishes":[146],"feasibility":[148],"field":[154],"public":[156],"health.":[157],"It":[158],"observed":[160],"each":[162],"technique":[163],"gives":[164],"different":[165],"results":[166],"associated":[168],"factors.":[169],"Cascade":[171],"classifier":[172],"attained":[174],"accuracy":[176],"98.58%,":[178],"Random":[179],"Forest":[180],"(89%),":[181],"SVM":[182],"(69%),":[183],"Logistic":[184],"Regression":[185],"(78%),":[186],"K-NN":[187],"(72%),":[188],"Decision":[190],"Tree":[191],"(78%).":[192],"validated":[196],"evaluated":[198],"using":[199],"metrics.":[201],"work":[203],"demonstrated":[204],"identifying":[206],"risk":[207],"must":[209],"not":[210],"consider":[211],"one":[212],"model.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2024-11-20T00:00:00"}