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[PDF][PDF] Artificial neural networks in medical diagnosis
QK Al-Shayea - International Journal of Computer Science Issues, 2011 - Citeseer
Artificial neural networks are finding many uses in the medical diagnosis application. The
goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are …
goal of this paper is to evaluate artificial neural network in disease diagnosis. Two cases are …
Mathematical modeling of the lower urinary tract: A review
D Jaskowak, R Nunez… - Neurourology and …, 2022 - Wiley Online Library
Aims Understand what progress has been made toward a functionally predictive lower
urinary tract (LUT) model, identify knowledge gaps, and develop from them a path forward …
urinary tract (LUT) model, identify knowledge gaps, and develop from them a path forward …
Automated classification method for early diagnosis of alopecia using machine learning
I Kapoor, A Mishra - Procedia computer science, 2018 - Elsevier
Artificial neural networks are being used in many fields for different purposes. Medical
diagnosis is one of the major purposes. In the field of medical, classification plays an …
diagnosis is one of the major purposes. In the field of medical, classification plays an …
Onset of spontaneous filling and voiding cycles in the lower urinary tract: a modeling study
Spontaneous filling and voiding cycles represent a key dynamical feature of the healthy
lower urinary tract. Some urinary tract dysfunctions, such as over-flow incontinence, may …
lower urinary tract. Some urinary tract dysfunctions, such as over-flow incontinence, may …
[PDF][PDF] Urinary system diseases diagnosis using artificial neural networks
QK Al-Shayea, ISH Bahia - IJCSNS, 2010 - researchgate.net
The goal of this paper is to evaluate artificial neural network in urinary diseases diagnosis.
Artificial neural networks are widely used in medical problems. Artificial neural networks are …
Artificial neural networks are widely used in medical problems. Artificial neural networks are …
Artificial neural networks for medical diagnosis using biomedical dataset
Artificial neural networks are a promising field in medical diagnostic applications. The goal
of this study is to propose a neural network for medical diagnosis. A feed-forward back …
of this study is to propose a neural network for medical diagnosis. A feed-forward back …
[HTML][HTML] Architectural model of the human neuroregulator system based on multi-agent systems and implementation of system-on-chip using FPGA.
The human neuroregulator system is a complex nervous system composed of a
heterogeneous group of nerve centres distributed along the spinal cord. These centres act …
heterogeneous group of nerve centres distributed along the spinal cord. These centres act …
Modelling of urological dysfunctions with neurological etiology by means of their centres involved
Urinary incontinence is a considerable problem which is clearly reflected in the number of
patients affected by it. Moreover, it is extremely difficult to obtain an accurate diagnosis as …
patients affected by it. Moreover, it is extremely difficult to obtain an accurate diagnosis as …
Model of integration and management for robotic functional components inspired by the human neuroregulatory system
This paper presents a model of integration and management for robotic functional
components that make up the robotic control system. To that end, we use the human …
components that make up the robotic control system. To that end, we use the human …
[PDF][PDF] Prediction of nephrolithiasis based on extracted features of CT-scan images using artificial neural networks
Nephrolithiasis or Renal calculi or Kidney stones transpire in 1 in 10 populace at some time
in their life. Renal calculi are a general cause of bloody urine and stern pain in the …
in their life. Renal calculi are a general cause of bloody urine and stern pain in the …