[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 …
Diabetes detection based on machine learning and deep learning approaches
The increasing number of diabetes individuals in the globe has alarmed the medical sector
to seek alternatives to improve their medical technologies. Machine learning and deep …
to seek alternatives to improve their medical technologies. Machine learning and deep …
Prediction of type-2 diabetes mellitus disease using machine learning classifiers and techniques
BS Ahamed, MS Arya, AO Nancy V - Frontiers in Computer Science, 2022 - frontiersin.org
The technological advancements in today's healthcare sector have given rise to many
innovations for disease prediction. Diabetes mellitus is one of the diseases that has been …
innovations for disease prediction. Diabetes mellitus is one of the diseases that has been …
Comparative analysis of predictive machine learning algorithms for diabetes mellitus
K Kangra, J Singh - Bulletin of Electrical Engineering and Informatics, 2023 - beei.org
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 …
Machine learning techniques for predicting malaria: Unpacking emerging challenges and opportunities for tackling malaria in sub-saharan Africa
E Mbunge, RC Milham, MN Sibiya… - Computer Science On …, 2023 - Springer
Malaria resurgence significantly threatens progress made towards malaria elimination in the
past years and consequently increases socioeconomic and public health burden, especially …
past years and consequently increases socioeconomic and public health burden, especially …
Iomt: A medical resource management system using edge empowered blockchain federated learning
T Muazu, M Yingchi, AU Muhammad… - … on Network and …, 2023 - ieeexplore.ieee.org
As data sharing on the Internet of Medical Things (IoMT) become more complicated, the
problems of divergent interests, unregulated policies, privacy and security, and the resource …
problems of divergent interests, unregulated policies, privacy and security, and the resource …
Diagnosing diabetes mellitus using machine learning techniques
Diabetes Mellitus (DM) is a frequent condition in which the body's sugar levels are
abnormally high for an extended length of time. It is a major cause of death with high …
abnormally high for an extended length of time. It is a major cause of death with high …
Detecting diabetes in an ensemble model using a unique PSO-GWO hybrid approach to hyperparameter optimization
Diabetes is a chronic medical condition that disrupts the body's normal blood sugar levels. It
is essential to detect this disease at an early stage in order to prevent organ and tissue …
is essential to detect this disease at an early stage in order to prevent organ and tissue …
Hyperparameter Tuning on Classification Algorithm with Grid Search
W Nugraha, A Sasongko - Sistemasi: Jurnal Sistem …, 2022 - sistemasi.ftik.unisi.ac.id
Currently, machine learning algorithms continue to be developed to perform optimization
with various methods to produce the best-performing model. In Supervised learning or …
with various methods to produce the best-performing model. In Supervised learning or …
Application of machine learning models to predict malaria using malaria cases and environmental risk factors
E Mbunge, RC Millham, MN Sibiya… - 2022 Conference on …, 2022 - ieeexplore.ieee.org
Malaria remains a significant cause of deaths and illness especially in sub-Saharan Africa
(SSA). The efforts to eliminate malaria include the use of intermittent preventive prophylaxis …
(SSA). The efforts to eliminate malaria include the use of intermittent preventive prophylaxis …