[HTML][HTML] Machine learning and data mining methods in diabetes research
The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …
production of data, such as high throughput genetic data and clinical information, generated …
A comparative performance assessment of optimized multilevel ensemble learning model with existing classifier models
To predict the class level of any classification problem, predictive models are used and
mostly a single predictive model is built to predict the class level of any classification …
mostly a single predictive model is built to predict the class level of any classification …
Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence
L Davidson, MR Boland - Journal of Pharmacokinetics and …, 2020 - Springer
The role of artificial intelligence (AI) in healthcare for pregnant women. To assess the role of
AI in women's health, discover gaps, and discuss the future of AI in maternal health. A …
AI in women's health, discover gaps, and discuss the future of AI in maternal health. A …
From ants to whales: metaheuristics for all tastes
Nature-inspired metaheuristics comprise a compelling family of optimization techniques.
These algorithms are designed with the idea of emulating some kind natural phenomena …
These algorithms are designed with the idea of emulating some kind natural phenomena …
Back-propagation algorithm with variable adaptive momentum
In this paper, we propose a novel machine learning classifier by deriving a new adaptive
momentum back-propagation (BP) artificial neural networks algorithm. The proposed …
momentum back-propagation (BP) artificial neural networks algorithm. The proposed …
[PDF][PDF] Analysis and prediction of diabetes diseases using machine learning algorithm: Ensemble approach
Machine learning techniques (MLT) are used to predict the medical datasets at an early
stage of safe human life. A huge medical datasets are accessible in different data …
stage of safe human life. A huge medical datasets are accessible in different data …
[HTML][HTML] Rule extraction using Recursive-Rule extraction algorithm with J48graft combined with sampling selection techniques for the diagnosis of type 2 diabetes …
Y Hayashi, S Yukita - Informatics in Medicine Unlocked, 2016 - Elsevier
Diabetes is a complex disease that is increasing in prevalence around the world. Type 2
diabetes mellitus (T2DM) accounts for about 90–95% of all diagnosed adult cases of …
diabetes mellitus (T2DM) accounts for about 90–95% of all diagnosed adult cases of …
[HTML][HTML] An innovative artificial intelligence–based app for the diagnosis of gestational diabetes mellitus (GDM-AI): Development study
J Shen, J Chen, Z Zheng, J Zheng, Z Liu, J Song… - Journal of Medical …, 2020 - jmir.org
Background Gestational diabetes mellitus (GDM) can cause adverse consequences to both
mothers and their newborns. However, pregnant women living in low-and middle-income …
mothers and their newborns. However, pregnant women living in low-and middle-income …
[PDF][PDF] Diabetes analysis and prediction using random forest, KNN, Naïve Bayes, and J48: an ensemble approach
Now-a-days there is increase in people suffering from DM (Diabetes mellitus) and this
number is growing continuously. So, it is a considerable chronic disease. MLTs (Machine …
number is growing continuously. So, it is a considerable chronic disease. MLTs (Machine …
Robust adaptive learning approach to self-organizing maps
Abstract The Self-Organizing Map (SOM) has attracted much research in diverse fields of
study, where it has been successfully applied to a wide range of artificial intelligence …
study, where it has been successfully applied to a wide range of artificial intelligence …