scholarly journals Artificial Neural Networks for Medical Diagnosis: A Review of Recent Trends

2020 ◽  
Vol 11 (3) ◽  
pp. 1-11
Author(s):  
Egba Anwaitu Fraser ◽  
Okonkwo ◽  
Obikwelu R
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Medical Diagnosis ◽  
Recent Trends ◽  
Artificial Neural

scholarly journals Artificial neural networks in medical diagnosis

2013 ◽  
Vol 11 (2) ◽  
pp. 47-58 ◽  
Author(s):  
Filippo Amato ◽  
Alberto López ◽  
Eladia María Peña-Méndez ◽  
Petr Vaňhara ◽  
Aleš Hampl ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Medical Diagnosis ◽  
Artificial Neural

scholarly journals Diagnosing Diabetes Using Artificial Neural Networks

2020 ◽  
Vol 5 (2) ◽  
pp. 221-224
Author(s):  
Joy Oyinye Orukwo ◽  
Ledisi Giok Kabari
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Networks ◽  
Success Rate ◽  
Medical Diagnosis ◽  
Learning Algorithm ◽  
Diabetes Diagnosis ◽  
Feed Forward Neural Network ◽  
The Neural Network ◽  
Artificial Neural

Diabetes has always been a silent killer and the number of people suffering from it has increased tremendously in the last few decades. More often than not, people continue with their normal lifestyle, unaware that their health is at severe risk and with each passing day diabetes goes undetected. Artificial Neural Networks have become extensively useful in medical diagnosis as it provides a powerful tool to help analyze, model and make sense of complex clinical data. This study developed a diabetes diagnosis system using feed-forward neural network with supervised learning algorithm. The neural network is systematically trained and tested and a success rate of 90% was achieved.

Artificial Neural Networks in Medicine

2021 ◽  
pp. 1901-1918
Author(s):  
Steven Walczak
Keyword(s):  
Neural Networks ◽  
Resource Allocation ◽  
Artificial Neural Networks ◽  
Cost Reduction ◽  
Decision Problems ◽  
The Future ◽  
Recent Trends ◽  
Artificial Neural ◽  
Medical Domain ◽  
Future Direction

Artificial neural networks (ANNs) have proven to be efficacious for modeling decision problems in medicine, including diagnosis, prognosis, resource allocation, and cost reduction problems. Research using ANNs to solve medical domain problems has been increasing regularly and is continuing to grow dramatically. This chapter examines recent trends and advances in ANNs and provides references to a large portion of recent research, as well as looking at the future direction of research for ANN in medicine.

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