Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predi...
Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective
About this item
Full title
Author / Creator
Zaizar-Fregoso, Sergio A. , Lara-Esqueda, Agustin , Hernández-Suarez, Carlos M. , Delgado-Enciso, Josuel , Garcia-Nevares, Arturo , Canseco-Avila, Luis M. , Guzman-Esquivel, Jose , Rodriguez-Sanchez, Iram P. , Martinez-Fierro, Margarita L. , Ceja-Espiritu, Gabriel , Ochoa-Díaz-Lopez, Hector , Espinoza-Gomez, Francisco , Sanchez-Diaz, Iyari and Delgado-Enciso, Ivan
Publisher
England: Hindawi
Journal title
Language
English
Formats
Publication information
Publisher
England: Hindawi
Subjects
More information
Scope and Contents
Contents
Diabetes mellitus is a disease with no cure that can cause complications and even death. Moreover, over time, it will lead to chronic complications. Predictive models have been used to identify people with a tendency to develop diabetes mellitus. At the same time, there is limited information regarding the chronic complications of patients with dia...
Alternative Titles
Full title
Using Artificial Intelligence to Develop a Multivariate Model with a Machine Learning Model to Predict Complications in Mexican Diabetic Patients without Arterial Hypertension (National Nested Case-Control Study): Metformin and Elevated Normal Blood Pressure Are Risk Factors, and Obesity Is Protective
Authors, Artists and Contributors
Author / Creator
Lara-Esqueda, Agustin
Hernández-Suarez, Carlos M.
Delgado-Enciso, Josuel
Garcia-Nevares, Arturo
Canseco-Avila, Luis M.
Guzman-Esquivel, Jose
Rodriguez-Sanchez, Iram P.
Martinez-Fierro, Margarita L.
Ceja-Espiritu, Gabriel
Ochoa-Díaz-Lopez, Hector
Espinoza-Gomez, Francisco
Sanchez-Diaz, Iyari
Delgado-Enciso, Ivan
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_9cfce0fbcf834f8194a3d99df69b31c1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9cfce0fbcf834f8194a3d99df69b31c1
Other Identifiers
ISSN
2314-6745
E-ISSN
2314-6753
DOI
10.1155/2023/8898958
