[HTML][HTML] A scoping review of artificial intelligence-based methods for diabetes risk prediction
The increasing prevalence of type 2 diabetes mellitus (T2DM) and its associated health
complications highlight the need to develop predictive models for early diagnosis and …
complications highlight the need to develop predictive models for early diagnosis and …
Developing an efficient feature engineering and machine learning model for detecting IoT-botnet cyber attacks
M Panda, AM Abd Allah, AE Hassanien - IEEE Access, 2021 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) systems and smart digital devices, has perceived
them targeted by network attacks. Botnets are vectors buttoned up which the attackers …
them targeted by network attacks. Botnets are vectors buttoned up which the attackers …
A comparative study of different machine learning tools in detecting diabetes
A significant proportion of people around the world are currently suffering from the harmful
effects of diabetes and a considerable number of them not being identified at an early stage …
effects of diabetes and a considerable number of them not being identified at an early stage …
Comparative analysis of predictive machine learning algorithms for diabetes mellitus
K Kangra, J Singh - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
Diabetes mellitus (DM) is a serious worldwide health issue, and its prevalence is rapidly
growing. It is a spectrum of metabolic illnesses defined by perpetually increased blood …
growing. It is a spectrum of metabolic illnesses defined by perpetually increased blood …
Average weighted objective distance-based method for type 2 diabetes prediction
P Nuankaew, S Chaising, P Temdee - IEEE Access, 2021 - ieeexplore.ieee.org
Early detection of Type 2 diabetes is necessary for its prevention. The prediction models for
detection systems normally employ common factors that may not properly fit all persons …
detection systems normally employ common factors that may not properly fit all persons …
[HTML][HTML] Prediction of diabetes complications using computational intelligence techniques
T Alghamdi - Applied Sciences, 2023 - mdpi.com
Diabetes is a complex disease that can lead to serious health complications if left
unmanaged. Early detection and treatment of diabetes is crucial, and data analysis and …
unmanaged. Early detection and treatment of diabetes is crucial, and data analysis and …
[HTML][HTML] Combining fractional derivatives and machine learning: A review
S Raubitzek, K Mallinger, T Neubauer - Entropy, 2022 - mdpi.com
Fractional calculus has gained a lot of attention in the last couple of years. Researchers
have discovered that processes in various fields follow fractional dynamics rather than …
have discovered that processes in various fields follow fractional dynamics rather than …
[HTML][HTML] Machine learning-based approach for predicting diabetes employing socio-demographic characteristics
Diabetes is one of the fatal diseases that play a vital role in the growth of other diseases in
the human body. From a clinical perspective, the most significant approach to mitigating the …
the human body. From a clinical perspective, the most significant approach to mitigating the …
[PDF][PDF] Stacking Ensemble Learning-Based Convolutional Gated Recurrent Neural Network for Diabetes Miletus.
G Geetha, KM Prasad - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
Diabetes mellitus is a metabolic disease in which blood glucose levels rise as a result of
pancreatic insulin production failure. It causes hyperglycemia and chronic multiorgan …
pancreatic insulin production failure. It causes hyperglycemia and chronic multiorgan …
An Empirical Model for The Classification of Diabetes and Diabetes_Types Using Ensemble Approaches
Diabetes is a hereditary disorder that interferes with human life at all ages. It is challenging
for cells to absorb glucose from the bloodstream when an individual has diabetes. The two …
for cells to absorb glucose from the bloodstream when an individual has diabetes. The two …