[Retracted] A Novel Diabetes Healthcare Disease Prediction Framework Using Machine Learning Techniques
R Krishnamoorthi, S Joshi… - Journal of healthcare …, 2022 - Wiley Online Library
Diabetes is a chronic disease that continues to be a significant and global concern since it
affects the entire population's health. It is a metabolic disorder that leads to high blood sugar …
affects the entire population's health. It is a metabolic disorder that leads to high blood sugar …
An optimization-based diabetes prediction model using CNN and Bi-directional LSTM in real-time environment
P Madan, V Singh, V Chaudhari, Y Albagory… - Applied Sciences, 2022 - mdpi.com
Featured Application Diabetes is a common chronic disorder defined by excessive glucose
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
levels in the blood. A good diagnosis of diabetes may make a person's life better; otherwise …
An evolutionary crow search algorithm equipped with interactive memory mechanism to optimize artificial neural network for disease diagnosis
H Zamani, MH Nadimi-Shahraki - Biomedical Signal Processing and …, 2024 - Elsevier
Artificial neural network (ANN) is an information processing paradigm that loosely models
the thinking patterns of the human brain with specifications such as real-time learning, self …
the thinking patterns of the human brain with specifications such as real-time learning, self …
A novel proposal for deep learning-based diabetes prediction: converting clinical data to image data
Diabetes, one of the most common diseases worldwide, has become an increasingly global
threat to humans in recent years. However, early detection of diabetes greatly inhibits the …
threat to humans in recent years. However, early detection of diabetes greatly inhibits the …
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 …
A novel RFE-GRU model for diabetes classification using PIMA Indian dataset
MY Shams, Z Tarek, AM Elshewey - Scientific Reports, 2025 - nature.com
Diabetes is a long-term condition characterized by elevated blood sugar levels. It can lead to
a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes …
a variety of complex disorders such as stroke, renal failure, and heart attack. Diabetes …
Use of Machine Learning to predict patient develo** a disease or condition for early diagnose
M Siddiq - … Journal of Multidisciplinary Sciences and Arts, 2022 - jurnal.itscience.org
Abstract Machine learning algorithms have shown promise in predicting the likelihood of a
patient develo** a disease or condition. Early diagnosis of diseases such as cancer …
patient develo** a disease or condition. Early diagnosis of diseases such as cancer …
[PDF][PDF] Aplicaciones de las redes neuronales y el deep learning a la ingeniería biomédica
JL Sarmiento-Ramos - Revista UIS Ingenierías, 2020 - redalyc.org
Hoy en día, las redes neuronales artificiales y el deep learning, son dos de las herramientas
más poderosas del aprendizaje de máquina, que tienen por objetivo desarrollar sistemas …
más poderosas del aprendizaje de máquina, que tienen por objetivo desarrollar sistemas …
Artificial intelligence-based diabetes diagnosis with belief functions theory
A Ellouze, O Kahouli, M Ksantini, H Alsaif, A Aloui… - Symmetry, 2022 - mdpi.com
We compared various machine learning (ML) methods, such as the K-nearest neighbor
(KNN), support vector machine (SVM), and decision tree and deep learning (DL) methods …
(KNN), support vector machine (SVM), and decision tree and deep learning (DL) methods …
Heart rate variability features from nonlinear cardiac dynamics in identification of diabetes using artificial neural network and support vector machine
Y Aggarwal, J Das, PM Mazumder, R Kumar… - Biocybernetics and …, 2020 - Elsevier
Diabetes mellitus (DM) is a multifactorial disease characterized by hyperglycemia. The type
1 and type 2 DM are two different conditions with insulin deficiency and insulin resistance …
1 and type 2 DM are two different conditions with insulin deficiency and insulin resistance …