Critical Factor Analysis for prediction of Diabetes Mellitus using an Inclusive Feature Selection Strategy
E Sreehari, LDD Babu - Applied Artificial Intelligence, 2024 - Taylor & Francis
Diabetes mellitus is a metabolic disorder that significantly implicates serious consequences
in various parts of the human body, such as the Eye, Heart, kidney, Nerves, Foot, etc. The …
in various parts of the human body, such as the Eye, Heart, kidney, Nerves, Foot, etc. The …
A fast feature selection method based on coefficient of variation for diabetics prediction using machine learning
Diabetes has become a prevalent metabolic disease nowadays, affecting patients of all age
groups and large populations around the world. Early detection would facilitate early …
groups and large populations around the world. Early detection would facilitate early …
A novel approach for best parameters selection and feature engineering to analyze and detect diabetes: Machine learning insights
Humans are familiar with “diabetes,” a chronic metabolic disease that causes resistance to
insulin in the human body, and about 425 million cases worldwide. Diabetes is a hazard to …
insulin in the human body, and about 425 million cases worldwide. Diabetes is a hazard to …
Optimized computational diabetes prediction with feature selection algorithms
X Li, M Curiger, R Dornberger, T Hanne - Proceedings of the 2023 7th …, 2023 - dl.acm.org
Diabetes is a life-threatening disease that should be diagnosed and treated as early as
possible. In this paper, Recursive Feature Elimination (RFE) and a Genetic Algorithm (GA) …
possible. In this paper, Recursive Feature Elimination (RFE) and a Genetic Algorithm (GA) …
Permutation feature importance-based fusion techniques for diabetes prediction
Diabetes mellitus is one of the persistent syndromes with deadly consequences. Because of
the disease's continual observation, lifetime fidelity, and high hospital charges, it has an …
the disease's continual observation, lifetime fidelity, and high hospital charges, it has an …
An implementation of feature ranking using machine learning techniques for diabetes disease prediction
Disease diagnosis is an application area where machine learning tools are providing
successful results. Diabetes disease is one of the crucial factors of death all over the world …
successful results. Diabetes disease is one of the crucial factors of death all over the world …
[HTML][HTML] Investigating health-related features and their impact on the prediction of diabetes using machine learning
Diabetes Mellitus (DM) is one of the most common chronic diseases leading to severe
health complications that may cause death. The disease influences individuals, community …
health complications that may cause death. The disease influences individuals, community …
Improving the diabetes Diagnosis prediction rate using data preprocessing, data augmentation and recursive feature elimination method
E Sabitha, M Durgadevi - International Journal of Advanced …, 2022 - search.proquest.com
Hyperglycemia is a symptom of diabetes mellitus, a metabolic condition brought on by the
body's inability to produce enough insulin and respond to it. Diabetes can damage body …
body's inability to produce enough insulin and respond to it. Diabetes can damage body …
Feature selection and classification model construction on type 2 diabetic patients' data
Y Huang, P McCullagh, N Black, R Harper - Artificial intelligence in …, 2007 - Elsevier
OBJECTIVE: Diabetes affects between 2% and 4% of the global population (up to 10% in
the over 65 age group), and its avoidance and effective treatment are undoubtedly crucial …
the over 65 age group), and its avoidance and effective treatment are undoubtedly crucial …
Evaluating the effectiveness of Wrapper feature selection methods with artificial neural network classifier for diabetes prediction
MA Fahmiin, TH Lim - Testbeds and Research Infrastructures for the …, 2020 - Springer
Feature selection is an important preprocessing technique used to determine the most
important features that contributes to the classification of a dataset, typically performed on …
important features that contributes to the classification of a dataset, typically performed on …