Machine learning based diabetes classification and prediction for healthcare applications
The remarkable advancements in biotechnology and public healthcare infrastructures have
led to a momentous production of critical and sensitive healthcare data. By applying …
led to a momentous production of critical and sensitive healthcare data. By applying …
Role of artificial neural networks in predicting design and efficiency of dye sensitized solar cells
Photovoltaic technology attracts researchers from industry and academia due to its potential
in producing electricity directly from the sunlight. Among all the photovoltaic devices, the dye …
in producing electricity directly from the sunlight. Among all the photovoltaic devices, the dye …
[HTML][HTML] Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning
The increasing gap between the demand and productivity of maize crop is a point of concern
for the food industry, and farmers. Its' susceptibility to diseases such as Turcicum Leaf Blight …
for the food industry, and farmers. Its' susceptibility to diseases such as Turcicum Leaf Blight …
Improving diabetes disease patients classification using stacking ensemble method with PIMA and local healthcare data
MS Reza, R Amin, R Yasmin, W Kulsum, S Ruhi - Heliyon, 2024 - cell.com
Diabetes mellitus, a chronic metabolic disorder, continues to be a major public health issue
around the world. It is estimated that one in every two diabetics is undiagnosed. Early …
around the world. It is estimated that one in every two diabetics is undiagnosed. Early …
Artificial intelligence approaches to physiological parameter analysis in the monitoring and treatment of non-communicable diseases: A review
JA Ramirez-Bautista, SL Chaparro-Cárdenas… - … Signal Processing and …, 2024 - Elsevier
The wide availability of electronic medical data from multiple sources, such as clinical
settings and wearable devices, evidences an important opportunity for the analysis of non …
settings and wearable devices, evidences an important opportunity for the analysis of non …
Data mining techniques for early diagnosis of diabetes: a comparative study
Diabetes is a life-long condition that is well-known in the 21st century. Once known as a
disease of the West, the rise of diabetes has been fed by a nutrition shift, rapid urbanization …
disease of the West, the rise of diabetes has been fed by a nutrition shift, rapid urbanization …
A fuzzy rule-based system for classification of diabetes
Diabetes is a fatal disease that currently has no treatment. However, early diagnosis of
diabetes aids patients to start timely treatment and thus reduces or eliminates the risk of …
diabetes aids patients to start timely treatment and thus reduces or eliminates the risk of …
KUB-UNet: segmentation of organs of urinary system from a KUB X-ray image
Purpose The alarming increase in diseases of urinary system is a cause of concern for the
populace and health experts. The traditional techniques used for the diagnosis of these …
populace and health experts. The traditional techniques used for the diagnosis of these …
Diabetes emergency cases identification based on a statistical predictive model
Diabetes is a chronic metabolic disease which is characterized by a permanently high blood
sugar level. A distinction is made between two forms: Type 1 diabetes and Type 2 diabetes …
sugar level. A distinction is made between two forms: Type 1 diabetes and Type 2 diabetes …
Dataset and feature analysis for Diabetes Mellitus classification using random forest
F Mustofa, AN Safriandono, AR Muslikh… - Journal of …, 2023 - eprints.unmer.ac.id
: Diabetes Mellitus is a hazardous disease, and according to the World Health Organization
(WHO), diabetes will be one of the main causes of death by 2030. One of the most popular …
(WHO), diabetes will be one of the main causes of death by 2030. One of the most popular …