Machine learning for dementia prediction: a systematic review and future research directions
Abstract Nowadays, Artificial Intelligence (AI) and machine learning (ML) have successfully
provided automated solutions to numerous real-world problems. Healthcare is one of the …
provided automated solutions to numerous real-world problems. Healthcare is one of the …
[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
A systematic review of virtual reality and robot therapy as recent rehabilitation technologies using EEG-brain–computer interface based on movement-related cortical …
To enhance the treatment of motor function impairment, patients' brain signals for self-control
as an external tool may be an extraordinarily hopeful option. For the past 10 years …
as an external tool may be an extraordinarily hopeful option. For the past 10 years …
A novel sample and feature dependent ensemble approach for Parkinson's disease detection
Parkinson's disease (PD) is a neurological disease that has been reported to have affected
most people worldwide. Recent research pointed out that about 90% of PD patients possess …
most people worldwide. Recent research pointed out that about 90% of PD patients possess …
[Retracted] A Clinical Decision Support System (CDSS) for Unbiased Prediction of Caesarean Section Based on Features Extraction and Optimized Classification
A Javeed, L Ali, A Mohammed Seid… - Computational …, 2022 - Wiley Online Library
Nowadays, caesarean section (CS) is given preference over vaginal birth and this trend is
rapidly rising around the globe, although CS has serious complications such as pregnancy …
rapidly rising around the globe, although CS has serious complications such as pregnancy …
[Retracted] An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization …
Recently, cardiac arrhythmia recognition from electrocardiography (ECG) with deep learning
approaches is becoming popular in clinical diagnosis systems due to its good prognosis …
approaches is becoming popular in clinical diagnosis systems due to its good prognosis …
Feature analysis of smart shoe sensors for classification of gait patterns
U Sunarya, Y Sun Hariyani, T Cho, J Roh, J Hyeong… - Sensors, 2020 - mdpi.com
Gait analysis is commonly used to detect foot disorders and abnormalities such as
supination, pronation, unstable left foot and unstable right foot. Early detection of these …
supination, pronation, unstable left foot and unstable right foot. Early detection of these …
An efficient analysis of eeg signals to perform emotion analysis
The analysis of human emotional features is a significant hurdle to surmount on the path to
understanding the human mind. Human emotions are convoluted thus making its analysis …
understanding the human mind. Human emotions are convoluted thus making its analysis …
User-transformer connectivity relationship identification based on knowledge-driven approaches
L Zhou, F Wen, X Yang, Y Zhong - IEEE Access, 2022 - ieeexplore.ieee.org
Accurate user-transformer connectivity relationship (UTCR) plays a key role in fine
management of low-voltage distribution network (LVDN) ie, load expansion, line loss …
management of low-voltage distribution network (LVDN) ie, load expansion, line loss …
An integrated decision support system for heart failure prediction based on feature transformation using grid of stacked autoencoders
Heart failure (HF) is a life-threatening disease. Therefore, prediction of risks associated with
HF is essential at the early stages of the disease in order to ensure safety and reduce the …
HF is essential at the early stages of the disease in order to ensure safety and reduce the …