Blood pressure detection using CNN-LSTM model
Blood pressure (BP) is a key indication that needs to be checked on a regular basis. For
maintaining a healthy life normal blood pressure is essential, and a continuous change can …
maintaining a healthy life normal blood pressure is essential, and a continuous change can …
A convolutional neural network approach for diabetic retinopathy classification
Diabetic Retinopathy (DR) is a kind of problem which affects diabetic patients, particularly
those at their age of working, and can result in vision impairment and possibly irreversible …
those at their age of working, and can result in vision impairment and possibly irreversible …
Liver disease prediction using machine learning classification techniques
Machine Learning is a process which is used to discover patterns in huge data/large data
set to enable decision, thereby allowing machines to go through a learning process (ie …
set to enable decision, thereby allowing machines to go through a learning process (ie …
Automated Seizure Detection using Theta Band
The EEG signal is made up of numerous frequency bands that characterize human
behaviours like emotion, attentiveness, and sleep status, among others. In order to detect …
behaviours like emotion, attentiveness, and sleep status, among others. In order to detect …
[HTML][HTML] A review study of the deep learning techniques used for the classification of chest radiological images for COVID-19 diagnosis
Y Wang, CA Hargreaves - International Journal of Information Management …, 2022 - Elsevier
In the fight against COVID-19, the immediate and accurate screening of infected patients is
of great significance. Chest X-Ray (CXR) and Computed Tomography (CT) screening play …
of great significance. Chest X-Ray (CXR) and Computed Tomography (CT) screening play …
Effect of urbanization through land coverage classification
Land cover changes from rural or natural habitats to impervious surfaces that support
various human activities are called urbanization. The evaluation of policy alternatives for …
various human activities are called urbanization. The evaluation of policy alternatives for …
[PDF][PDF] Explainable machine learning techniques in medical image analysis based on classification with feature extraction
Animals are also afflicted by COVID-19, a virus that is quickly spreading and infects both
humans and animals. This fatal viral disease has an impact on people's daily lives, health …
humans and animals. This fatal viral disease has an impact on people's daily lives, health …
Segmentation and Feature Extraction in Lung CT Images with Deep Learning Model Architecture
R Indumathi, R Vasuki - SN Computer Science, 2023 - Springer
Recently, lung cancer is observed as the most deadly disease throughout the world with a
high mortality rate. The survival rate with lung cancer is minimal due to the difficulty in …
high mortality rate. The survival rate with lung cancer is minimal due to the difficulty in …
Blockchain Technology In Healthcare Industry
Since blockchain was originated through Bitcoin, study has been conducted to expand its
use cases beyond finance. One sector where blockchain is anticipated to have a big …
use cases beyond finance. One sector where blockchain is anticipated to have a big …
Mitigating Cybersecurity Risks In Medical Devices Using Secure Implanted Techniques
Cyberattacks on medical groups endanger patient care. When medical devices depend on
poorly maintained legacy applications that cannot change and may contain publicly reported …
poorly maintained legacy applications that cannot change and may contain publicly reported …