Predictive models for diabetes mellitus using machine learning techniques
H Lai, H Huang, K Keshavjee, A Guergachi… - BMC endocrine …, 2019 - Springer
Abstract Background Diabetes Mellitus is an increasingly prevalent chronic disease
characterized by the body's inability to metabolize glucose. The objective of this study was to …
characterized by the body's inability to metabolize glucose. The objective of this study was to …
Comparative analysis of machine learning techniques in prognosis of type II diabetes
Artificial Intelligence (AI) is now a days gaining immense importance and is becoming a key
technology in many fields ranging from banking industry, to travel industry, to communication …
technology in many fields ranging from banking industry, to travel industry, to communication …
Diabetes disease prediction using machine learning algorithms
AC Lyngdoh, NA Choudhury… - 2020 IEEE-EMBS …, 2021 - ieeexplore.ieee.org
This paper deals with the prediction of Diabetes Disease by performing an analysis of five
supervised machine learning algorithms, ie K-Nearest Neighbors, Naïve Baye, Decision …
supervised machine learning algorithms, ie K-Nearest Neighbors, Naïve Baye, Decision …
Comparative machine-learning approach: A follow-up study on type 2 diabetes predictions by cross-validation methods
(1) Background: Diabetes is a common chronic disease and a leading cause of death. Early
diagnosis gives patients with diabetes the opportunity to improve their dietary habits and …
diagnosis gives patients with diabetes the opportunity to improve their dietary habits and …
Machine learning based diabetes classification and prediction for healthcare applications
The remarkable advancements in biotechnology and public healthcare infrastructures have
led to a momentous production of critical and sensitive healthcare data. By applying …
led to a momentous production of critical and sensitive healthcare data. By applying …
Diabetes prediction model using machine learning techniques
Diabetes has emerged as a significant global health concern, contributing to various severe
complications such as kidney disease, vision loss, and coronary issues. Leveraging …
complications such as kidney disease, vision loss, and coronary issues. Leveraging …
[HTML][HTML] Peer reviewed: building risk prediction models for type 2 diabetes using machine learning techniques
Methods We analyzed cross-sectional data on 138,146 participants, including 20,467 with
type 2 diabetes, from the 2014 Behavioral Risk Factor Surveillance System. We built several …
type 2 diabetes, from the 2014 Behavioral Risk Factor Surveillance System. We built several …