Predicting patients with Parkinson's disease using Machine Learning and ensemble voting technique
Parkinson's disease is the second most common neurological disorder that causes
significant physical disabilities, decreases the quality of life, and does not have a cure …
significant physical disabilities, decreases the quality of life, and does not have a cure …
Improving skin diseases prediction through data balancing via classes weighting and transfer learning
Skin disease prediction using artificial intelligence has shown great potential in improving
early diagnosis and treatment outcomes. However, the presence of class imbalance within …
early diagnosis and treatment outcomes. However, the presence of class imbalance within …
Healthcare embedded system for predicting Parkinson's Disease based on AI of things
This study aims to build a healthcare-embedded system based on the Artificial Intelligence
of Things (AIoT) to predict people affected by Parkinson's Disease (PD) via vocal disorders …
of Things (AIoT) to predict people affected by Parkinson's Disease (PD) via vocal disorders …
IoT and ensemble long-short-term-memory-based evapotranspiration forecasting for Riyadh
Evapotranspiration (ET) is the fundamental component of efficient water resource
management. Accurate forecasting of ET is essential for efficient water utilization in …
management. Accurate forecasting of ET is essential for efficient water utilization in …
Assessing the Performance of Deep Learning Models for Colon Polyp Classification using Computed Tomography Scans
the diagnosis of Colorectal and Rectum Cancer (CRC) is a global concern as it is the third
most commonly diagnosed cancer. Early detection and treatment of polyps can prevent the …
most commonly diagnosed cancer. Early detection and treatment of polyps can prevent the …
Enhancing early detection of COVID-19 with machine learning and blood test results
The medical community has a significant interest in an accurate, reliable, and effective
Medical Diagnosis Support System for COVID-19. Compared to the RT-PCR test, clinical …
Medical Diagnosis Support System for COVID-19. Compared to the RT-PCR test, clinical …
A novel hybrid CNN-KNN ensemble voting classifier for Parkinson's disease prediction from hand sketching images
Parkinson's disease is a progressive neurodegenerative disorder that causes significant
physical disabilities and reduces the quality of life. This disease is caused by the loss of …
physical disabilities and reduces the quality of life. This disease is caused by the loss of …
[HTML][HTML] Fuzzy based System for Coronary artery disease Prediction Using Subtractive Clustering and Risk Factors Data
Over the past three decades, coronary artery disease (CAD) has been considered one of the
most common fatal diseases worldwide. Consequently, early diagnosis and prediction are …
most common fatal diseases worldwide. Consequently, early diagnosis and prediction are …
A Novel Privacy enabled Human Health and Safety Monitoring System using IoT with Smart Wearable Device
M Tamilselvi - 2024 2nd International Conference on Self …, 2024 - ieeexplore.ieee.org
Human health encompasses physical, mental, and social well-being, requiring a holistic
approach to maintain and improve. Modern health monitoring leverages the Internet of …
approach to maintain and improve. Modern health monitoring leverages the Internet of …
Predicting Cardiovascular Disease: A Sco** Survey on different Datasets and DL/ML Models using ECG
N Akouz, A El Ghazi, W Moutaouakil… - … and Computer Vision …, 2024 - ieeexplore.ieee.org
Nowadays, cardiovascular disease is the leading global cause of death. Predicting heart
disease has become a complex endeavor, requiring both expertise and advanced …
disease has become a complex endeavor, requiring both expertise and advanced …