Diseases diagnosis using fuzzy logic methods: A systematic and meta-analysis review
Abstract Background and Objective Diagnosis as the initial step of medical practice, is one of
the most important parts of complicated clinical decision making which is usually …
the most important parts of complicated clinical decision making which is usually …
Volumetric feature-based Alzheimer's disease diagnosis from sMRI data using a convolutional neural network and a deep neural network
A Basher, BC Kim, KH Lee, HY Jung - IEEE Access, 2021 - ieeexplore.ieee.org
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that is mostly
prevalent in people older than 65 years. The hippocampus is a widely studied region of …
prevalent in people older than 65 years. The hippocampus is a widely studied region of …
IoT based monitoring system for epileptic patients
S Hassan, E Mwangi, PK Kihato - Heliyon, 2022 - cell.com
The unpredictable nature of epileptic seizures makes it challenging to detect and effectively
treat this disorder. The seizures are random, and most epileptic patients experience …
treat this disorder. The seizures are random, and most epileptic patients experience …
Mathematical models on Alzheimer's Disease and its treatment: A review
M Maji, S Khajanchi - Physics of Life Reviews, 2025 - Elsevier
Alzheimer's disease is a gradually advancing neurodegenerative disease. According to the
report by “World Health Organization (WHO)”, there are over 55 million individuals currently …
report by “World Health Organization (WHO)”, there are over 55 million individuals currently …
An intelligent system for heart disease prediction using adaptive neuro-fuzzy inference systems and genetic algorithm
J Feng, Q Wang, N Li - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Cardiovascular disease remains the leading cause of death worldwide over the past two
decades. Because of a large number of clinical data and the complexity of the disease, it is …
decades. Because of a large number of clinical data and the complexity of the disease, it is …
A novel temporal adaptive fuzzy neural network for facial feature based fatigue assessment
When engaging in activities such as using video display terminals, driving, or sports,
effective fatigue monitoring is crucial. Nevertheless, obtaining biological information through …
effective fatigue monitoring is crucial. Nevertheless, obtaining biological information through …
On the detection of Alzheimer's disease using fuzzy logic based majority voter classifier
Alzheimer's disease (AD) is considered to be one of the most frequent neurogenerative
dementia in the elderly population. In order to improve the quality of life span, early detection …
dementia in the elderly population. In order to improve the quality of life span, early detection …
Interdependent Attribute Interference Fuzzy Neural Network-Based Alzheimer Disease Evaluation
Alzheimer's disease is associated with a fragmental protein deposits termed as biomarkers.
These biomarkers are studied and researched with various techniques in improving the …
These biomarkers are studied and researched with various techniques in improving the …
Fuzzy logic based decision systems in the healthcare sector
Fuzzy logic is a powerful tool for real-world problems in which data is approximate but not
fixed. Fuzzy models are capable of recognizing, representing, manipulating, understanding …
fixed. Fuzzy models are capable of recognizing, representing, manipulating, understanding …
[ΒΙΒΛΙΟ][B] Advances in soft computing applications
The proclivity of today's technology to think like humans may be seen in new develo**
disciplines such as neural computing, fuzzy logic, evolutionary computation, machine …
disciplines such as neural computing, fuzzy logic, evolutionary computation, machine …