[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 …

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 …

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 …

Onset of spontaneous filling and voiding cycles in the lower urinary tract: a modeling study

R Nunez, E Alhajjar, D Jaskowak, ZC Danziger… - Bulletin of Mathematical …, 2024 - Springer
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 …

[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 for medical diagnosis using biomedical dataset

Q Al-Shayea, G El-Refae… - International Journal of …, 2013 - inderscienceonline.com
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 …

[HTML][HTML] Architectural model of the human neuroregulator system based on multi-agent systems and implementation of system-on-chip using FPGA.

FM Pérez, LZ Mendez, JVB Martínez, RS Lima… - Microprocessors and …, 2022 - Elsevier
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 …

Modelling of urological dysfunctions with neurological etiology by means of their centres involved

D Gil, M Johnsson, JMG Chamizo, AS Paya… - Applied Soft …, 2011 - Elsevier
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 …

Model of integration and management for robotic functional components inspired by the human neuroregulatory system

JVB Martínez, FM Pérez - 2010 IEEE 15th Conference on …, 2010 - ieeexplore.ieee.org
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 …

[PDF][PDF] Prediction of nephrolithiasis based on extracted features of CT-scan images using artificial neural networks

G Sumana, GA Babu - International Journal of Advanced …, 2017 - researchgate.net
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 …