An ensemble approach for the prediction of diabetes mellitus using a soft voting classifier with an explainable AI
Diabetes is a chronic disease that continues to be a primary and worldwide health concern
since the health of the entire population has been affected by it. Over the years, many …
since the health of the entire population has been affected by it. Over the years, many …
The severity prediction of the binary and multi-class cardiovascular disease− A machine learning-based fusion approach
In today's world, a massive amount of data is available in almost every sector. This data has
become an asset as we can use this enormous amount of data to find information. Mainly …
become an asset as we can use this enormous amount of data to find information. Mainly …
Comparative Analysis of Machine Learning Models for Disease Prediction
A Chotrani - Journal of Science & Technology, 2022 - thesciencebrigade.com
The increasing availability of health-related data and advancements in machine learning
techniques have paved the way for the development of predictive models for disease …
techniques have paved the way for the development of predictive models for disease …
Improved diabetes prediction with reduced feature sets: Evaluating feature selection techniques in machine learning
Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels,
which can lead to various health complications. Manual assessments for diabetes prediction …
which can lead to various health complications. Manual assessments for diabetes prediction …
Explainable artificial intelligence (xai) for the prediction of diabetes management: An ensemble approach
R Ganguly, D Singh - International Journal of Advanced …, 2023 - search.proquest.com
Abstract Machine learning determines patterns from data to expedite the process of decision
making. Fact-based decisions and data-driven decisions are specified by the industry …
making. Fact-based decisions and data-driven decisions are specified by the industry …
Economic resilience in times of public health shock: The case of the US states
Does adopting social distancing policies amid a health crisis, eg, COVID-19, hurt
economies? Using a machine learning approach at the intermediate stage, we applied a …
economies? Using a machine learning approach at the intermediate stage, we applied a …
A Methodology For Early Prediction and Classification of Heart Diseases in Diabetic Patients With Machine Learning Techniques
P Swathi, M Gunasekaran - 2022 IEEE 2nd International …, 2022 - ieeexplore.ieee.org
Heart diseases severely affects how people live. A serious condition that affects people of all
ages worldwide. Diabetes and heart disease patients have significantly higher mortality …
ages worldwide. Diabetes and heart disease patients have significantly higher mortality …
Hybrid XGBoost and Extreme Machine Learning Algorithm on Diabetes Disease Prediction
DK Vishwakarma, A Bilal… - 2023 14th International …, 2023 - ieeexplore.ieee.org
Diabetes is a long-term condition that places a considerable burden on the healthcare
systems of countries all over the globe. Prediction of diabetes at an early stage that is both …
systems of countries all over the globe. Prediction of diabetes at an early stage that is both …
Clinical Insight: Comparative Analysis of Deep Learning Models for Disease Prediction across Multifaceted Datasets
SK Binu, C Shanthi - 2024 Third International Conference on …, 2024 - ieeexplore.ieee.org
This research introduces an advanced model architecture for chronic disease detection,
leveraging highly developed artificial intelligence algorithms. The prototype combines the …
leveraging highly developed artificial intelligence algorithms. The prototype combines the …
A Ensemble Learning Based Stacking Technique to Train a Cleaned Diabetes Dataset
Diabetes which is believed to be a lengthy and brutal ailment that disrupts the normal blood
sugar ranges for a human body, necessitating diligent monitoring and lifestyle adaptations …
sugar ranges for a human body, necessitating diligent monitoring and lifestyle adaptations …