Machine learning for diabetes clinical decision support: a review
Type 2 diabetes has recently acquired the status of an epidemic silent killer, though it is non-
communicable. There are two main reasons behind this perception of the disease. First, a …
communicable. There are two main reasons behind this perception of the disease. First, a …
[HTML][HTML] Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
The first known case of Coronavirus disease 2019 (COVID-19) was identified in December
2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and …
2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and …
Explainable diabetes classification using hybrid Bayesian-optimized TabNet architecture
LP Joseph, EA Joseph, R Prasad - Computers in Biology and Medicine, 2022 - Elsevier
Diabetes is a deadly chronic disease that occurs when the pancreas is not able to produce
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …
ample insulin or when the body cannot use insulin effectively. If undetected, it may lead to a …
An optimization-based diabetes prediction model using CNN and Bi-directional LSTM in real-time environment
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 …
Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model
Demand forecasting is a scientific and methodical assessment of future demand for a critical
product. The effective Demand Forecast Model (DFM) enables pharmaceutical companies to …
product. The effective Demand Forecast Model (DFM) enables pharmaceutical companies to …
Deep LSTM model for diabetes prediction with class balancing by SMOTE
Diabetes is an acute disease that happens when the pancreas cannot produce enough
insulin. It can be fatal if undiagnosed and untreated. If diabetes is revealed early enough, it …
insulin. It can be fatal if undiagnosed and untreated. If diabetes is revealed early enough, it …
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data
In road safety, real-time crash prediction may play a crucial role in preventing such traffic
events. However, much of the research in this line generally uses data aggregated every five …
events. However, much of the research in this line generally uses data aggregated every five …
Machine and deep learning techniques for the prediction of diabetics: a review
Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …
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 …
Remaining useful life prediction of lithium-ion battery via a sequence decomposition and deep learning integrated approach
The remaining useful life (RUL) prediction of Lithium-ion batteries (LIBs) is of great
importance to the health management of electric vehicles and hybrid electric vehicles …
importance to the health management of electric vehicles and hybrid electric vehicles …