Machine-learning-based disease diagnosis: A comprehensive review
MM Ahsan, SA Luna, Z Siddique - Healthcare, 2022 - mdpi.com
Globally, there is a substantial unmet need to diagnose various diseases effectively. The
complexity of the different disease mechanisms and underlying symptoms of the patient …
complexity of the different disease mechanisms and underlying symptoms of the patient …
Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Healthcare prediction has been a significant factor in saving lives in recent years. In the
domain of health care, there is a rapid development of intelligent systems for analyzing …
domain of health care, there is a rapid development of intelligent systems for analyzing …
[HTML][HTML] Diabetes mellitus prediction and diagnosis from a data preprocessing and machine learning perspective
Abstract Background and Objective Diabetes mellitus is a metabolic disorder characterized
by hyperglycemia, which results from the inadequacy of the body to secrete and respond to …
by hyperglycemia, which results from the inadequacy of the body to secrete and respond to …
Predicting type 2 diabetes using logistic regression and machine learning approaches
Diabetes mellitus is one of the most common human diseases worldwide and may cause
several health-related complications. It is responsible for considerable morbidity, mortality …
several health-related complications. It is responsible for considerable morbidity, mortality …
Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm
Diabetes mellitus is a disease commonly called Diabetes. Diabetes is among the most
frequent diseases globally. This disease affects internationally with different ailments and …
frequent diseases globally. This disease affects internationally with different ailments and …
Hybrid stacked ensemble combined with genetic algorithms for diabetes prediction
J Abdollahi, B Nouri-Moghaddam - Iran Journal of Computer Science, 2022 - Springer
Diabetes is currently one of the most common, dangerous, and costly diseases globally
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
caused by increased blood sugar or a decrease in insulin in the body. Diabetes can have …
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 …
Machine learning tools for long-term type 2 diabetes risk prediction
A steady rise has been observed in the percentage of elderly people who want and are still
able to contribute to society. Therefore, early retirement or exit from the labour market, due to …
able to contribute to society. Therefore, early retirement or exit from the labour market, due to …
Design of intelligent diabetes mellitus detection system using hybrid feature selection based XGBoost classifier
In this work, a non-invasive diabetes mellitus detection system is proposed based on the
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
wristband photoplethysmography (PPG) signal and basic physiological parameters (PhyP) …
Comparative performance analysis of quantum machine learning with deep learning for diabetes prediction
Background Diabetes, the fastest growing health emergency, has created several life-
threatening challenges to public health globally. It is a metabolic disorder and triggers many …
threatening challenges to public health globally. It is a metabolic disorder and triggers many …