[PDF][PDF] RDET stacking classifier: a novel machine learning based approach for stroke prediction using imbalance data
The main cause of stroke is the unexpected blockage of blood flow to the brain. The brain
cells die if blood is not supplied to them, resulting in body disability. The timely identification …
cells die if blood is not supplied to them, resulting in body disability. The timely identification …
PSC-Net: Integration of Convolutional Neural Networks and Transformers for Physiological Signal Classification
Objective: Physiological signals, such as electrocardiogram (ECG) and wrist pulse signals
(WPS), play an important role in diagnosing and preventing cardiovascular and other …
(WPS), play an important role in diagnosing and preventing cardiovascular and other …
Early pigment spot segmentation and classification from iris cellular image analysis with explainable deep learning and multiclass support vector machine
Globally, retinal disorders impact thousands of individuals. Early diagnosis and treatment of
these anomalies might halt their development and prevent many people from developing …
these anomalies might halt their development and prevent many people from developing …
[PDF][PDF] CERTAIN INVESTIGATIONS ON FEATURE SELECTION TECHNIQUE USING ARTIFICIAL IMMUNE SYSTEMS FOR EEG COLOR VISUALIZATION …
This paper aims to extract and select the significant features of electroencephalogram (EEG)
signals and classify the visual stimulation of distinct colors. In this work, a novel method for …
signals and classify the visual stimulation of distinct colors. In this work, a novel method for …
Enhancing Cybersecurity for Diabetes Patient Data in Cloud-Based IoT Using Advanced Machine Learning Algorithms
CVG Rao, PS Dhaygude, A Harika… - … for Innovations in …, 2023 - ieeexplore.ieee.org
With an end goal to upgrade the network protection of diabetes patient data in a Cloud-
Based Web of Things (IoT) system, this review utilizes progressed computer-based …
Based Web of Things (IoT) system, this review utilizes progressed computer-based …
[PDF][PDF] Enhancing Stroke Prediction Accuracy: A Supervised Learning Approach with Random Over-Sampling
MA Manjramkar, KC Jondhale, AK Salve - researchgate.net
In time diagnosis and treatment of Stroke, a severe medical condition is a must for
prevention of death or disability. The techniques of Machine learning plays an important role …
prevention of death or disability. The techniques of Machine learning plays an important role …