[HTML][HTML] A predictive analytics approach for stroke prediction using machine learning and neural networks
The negative impact of stroke in society has led to concerted efforts to improve the
management and diagnosis of stroke. With an increased synergy between technology and …
management and diagnosis of stroke. With an increased synergy between technology and …
[HTML][HTML] Analyzing the impact of feature selection on the accuracy of heart disease prediction
Heart Disease has become one of the most serious diseases that has a significant impact on
human life. It has emerged as one of the leading causes of mortality among the people …
human life. It has emerged as one of the leading causes of mortality among the people …
[HTML][HTML] A Systematic Review of Machine Learning and IoT Applied to the Prediction and Monitoring of Cardiovascular Diseases
A Cuevas-Chávez, Y Hernández, J Ortiz-Hernandez… - Healthcare, 2023 - mdpi.com
According to the Pan American Health Organization, cardiovascular disease is the leading
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
cause of death worldwide, claiming an estimated 17.9 million lives each year. This paper …
[HTML][HTML] Using U-Net network for efficient brain tumor segmentation in MRI images
Abstract Magnetic Resonance Imaging (MRI) is the most commonly used non-intrusive
technique for medical image acquisition. Brain tumor segmentation is the process of …
technique for medical image acquisition. Brain tumor segmentation is the process of …
[HTML][HTML] Preparedness Indicator System for Education 4.0 with FUCOM and Rough Sets
In view of the recent education sectoral transition to Education 4.0 (EDUC4), evaluating the
preparedness of higher education institutions (HEIs) for EDUC4 implementation remains a …
preparedness of higher education institutions (HEIs) for EDUC4 implementation remains a …
Stroke prediction using Smote-Tomek and neural network
C Rana, N Chitre, B Poyekar… - 2021 12th International …, 2021 - ieeexplore.ieee.org
Stroke is a medical condition that occurs due to inadequate blood supply to the brain
causing the death of brain cells. If a stroke is not diagnosed correctly can lead to brain injury …
causing the death of brain cells. If a stroke is not diagnosed correctly can lead to brain injury …
An enhanced approach for analyzing the performance of heart stroke prediction with machine learning techniques
I Mishra, S Mohapatra - International Journal of Information Technology, 2023 - Springer
The heart is one of the most vital organs in our body and crucial for proper bodily function,
an unfit heart can seriously affect fitness, lifestyle and severely decrease the expected …
an unfit heart can seriously affect fitness, lifestyle and severely decrease the expected …
Stroke disease prediction based on ECG signals using deep learning techniques
MA Kumar, N Abirami, MSG Prasad… - 2022 International …, 2022 - ieeexplore.ieee.org
Stroke-related diseases are rapidly increasing day by day due to the changes in
environmental factors including lifestyles, food habits, and stress-related working cultures …
environmental factors including lifestyles, food habits, and stress-related working cultures …
[HTML][HTML] Predictive modelling and identification of key risk factors for stroke using machine learning
Strokes are a leading global cause of mortality, underscoring the need for early detection
and prevention strategies. However, addressing hidden risk factors and achieving accurate …
and prevention strategies. However, addressing hidden risk factors and achieving accurate …
Disease risk level prediction based on knowledge driven optimized deep ensemble framework
Healthcare information in diverse formats has been steadily boosting the growth of health
systems. This information covers a wide range of new sources, such as computer files, cell …
systems. This information covers a wide range of new sources, such as computer files, cell …