Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes

Orlando Iparraguirre-Villanueva; Karina Espinola-Linares; Rosalynn Ornella Flores Castañeda; Michael Cabanillas-Carbonell

doi:10.3390/diagnostics13142383

Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes

Orlando Iparraguirre-Villanueva
, Karina Espinola-Linares
, Rosalynn Ornella Flores Castañeda
, Michael Cabanillas-Carbonell

Research output: Contribution to journal › Article › peer-review

69 Scopus citations

Original language	English
Article number	2383
Journal	Diagnostics
Volume	13
Issue number	14
DOIs	https://doi.org/10.3390/diagnostics13142383
State	Published - 1 Jul 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.3390/diagnostics13142383

Cite this

@article{aba7cc87a47d497bb3fb688bcf7816d7,

title = "Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes",

keywords = "analysis, classification, diabetes, machine learning, modeling",

author = "Orlando Iparraguirre-Villanueva and Karina Espinola-Linares and \{Flores Casta{\~n}eda\}, \{Rosalynn Ornella\} and Michael Cabanillas-Carbonell",

note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",

year = "2023",

month = jul,

day = "1",

doi = "10.3390/diagnostics13142383",

language = "English",

volume = "13",

journal = "Diagnostics",

issn = "2075-4418",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "14",

}

TY - JOUR

T1 - Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes

AU - Iparraguirre-Villanueva, Orlando

AU - Espinola-Linares, Karina

AU - Flores Castañeda, Rosalynn Ornella

AU - Cabanillas-Carbonell, Michael

PY - 2023/7/1

Y1 - 2023/7/1

KW - analysis

KW - classification

KW - diabetes

KW - machine learning

KW - modeling

UR - https://www.scopus.com/pages/publications/85169937577

U2 - 10.3390/diagnostics13142383

DO - 10.3390/diagnostics13142383

M3 - Article

AN - SCOPUS:85169937577

SN - 2075-4418

VL - 13

JO - Diagnostics

JF - Diagnostics

IS - 14

M1 - 2383

ER -

Application of Machine Learning Models for Early Detection and Accurate Classification of Type 2 Diabetes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this