[HTML][HTML] Machine learning and data mining methods in diabetes research
The remarkable advances in biotechnology and health sciences have led to a significant
production of data, such as high throughput genetic data and clinical information, generated …
production of data, such as high throughput genetic data and clinical information, generated …
Predicting diabetes mellitus with machine learning techniques
Diabetes mellitus is a chronic disease characterized by hyperglycemia. It may cause many
complications. According to the growing morbidity in recent years, in 2040, the world's …
complications. According to the growing morbidity in recent years, in 2040, the world's …
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 …
[HTML][HTML] A novel stacking ensemble for detecting three types of diabetes mellitus using a Saudi Arabian dataset: pre-diabetes, T1DM, and T2DM
M Gollapalli, A Alansari, H Alkhorasani… - Computers in Biology …, 2022 - Elsevier
Glucose is the primary source of energy for cells, which are the building blocks of life. It is
given to the body by insulin that carries out the metabolic tasks that keep people alive …
given to the body by insulin that carries out the metabolic tasks that keep people alive …
Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project
Machine learning is becoming a popular and important approach in the field of medical
research. In this study, we investigate the relative performance of various machine learning …
research. In this study, we investigate the relative performance of various machine learning …
Predictive models for diabetes mellitus using machine learning techniques
H Lai, H Huang, K Keshavjee, A Guergachi… - BMC endocrine …, 2019 - Springer
Abstract Background Diabetes Mellitus is an increasingly prevalent chronic disease
characterized by the body's inability to metabolize glucose. The objective of this study was to …
characterized by the body's inability to metabolize glucose. The objective of this study was to …
[PDF][PDF] Improving the classification accuracy using recursive feature elimination with cross-validation
In Machine Learning (ML) community, researchers are proposing complex models for real-
life problems to achieve higher accuracy, which requires high computing and other …
life problems to achieve higher accuracy, which requires high computing and other …
Blended ensemble learning prediction model for strengthening diagnosis and treatment of chronic diabetes disease
Diabetes mellitus (DM), commonly known as diabetes, is a collection of metabolic illnesses
characterized by persistently high blood sugar levels. The signs of elevated blood sugar …
characterized by persistently high blood sugar levels. The signs of elevated blood sugar …
Predicting the onset of type 2 diabetes using wide and deep learning with electronic health records
Objective Diabetes is responsible for considerable morbidity, healthcare utilisation and
mortality in both developed and developing countries. Currently, methods of treating …
mortality in both developed and developing countries. Currently, methods of treating …
Cancer prognosis using artificial intelligence-based techniques
Cancer is one of the most dreadful causes of destruction to mankind. Many bioinformatics
investigators have applied Artificial Intelligence (AI)-based learning approaches with the aim …
investigators have applied Artificial Intelligence (AI)-based learning approaches with the aim …