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A sco** 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 …
Prediction Models for Type 2 Diabetes Progression: A Systematic Review
Diabetes, especially type 2 diabetes (T2D), is a chronic disease affecting millions of people
worldwide. The increasing prevalence of T2D, coupled with the complex interplay between …
worldwide. The increasing prevalence of T2D, coupled with the complex interplay between …
Comparative analysis of predictive machine learning algorithms for diabetes mellitus
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 …
Develo** an efficient feature engineering and machine learning model for detecting IoT-botnet cyber attacks
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 …
Prediction of diabetes complications using computational intelligence techniques
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 …
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 …
Average weighted objective distance-based method for type 2 diabetes prediction
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] 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 …
Combining fractional derivatives and machine learning: A review
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 …
Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the …
Background Type 2 diabetes mellitus (T2DM) is a significant global public health concern
that has steadily increased over the past few decades. Thus, this study aimed to predict the …
that has steadily increased over the past few decades. Thus, this study aimed to predict the …