Journal ArticleDOI
Diagnosing diabetes using neural networks on small mobile devices
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TLDR
A novel approach for diagnosing diabetes using neural networks and pervasive healthcare computing technologies and the initial results for a simple client (patient's PDA) and server (powerful desktop PC) two-tier pervasive healthcare architecture are presented.Abstract:
Pervasive computing is often mentioned in the context of improving healthcare. This paper presents a novel approach for diagnosing diabetes using neural networks and pervasive healthcare computing technologies. The recent developments in small mobile devices and wireless communications provide a strong motivation to develop new software techniques and mobile services for pervasive healthcare computing. A distributed end-to-end pervasive healthcare system utilizing neural network computations for diagnosing illnesses was developed. This work presents the initial results for a simple client (patient's PDA) and server (powerful desktop PC) two-tier pervasive healthcare architecture. The computations of neural network operations on both client and server sides and wireless network communications between them are optimized for real time use of pervasive healthcare services.read more
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Deep Learning Classification for Diabetic Foot Thermograms.
Israel Cruz-Vega,D. Hernandez-Contreras,Hayde Peregrina-Barreto,Jose de Jesus Rangel-Magdaleno,Juan Manuel Ramirez-Cortes +4 more
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References
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The Computer for the 21st Century
TL;DR: Consider writing, perhaps the first information technology: The ability to capture a symbolic representation of spoken language for long-term storage freed information from the limits of individual memory.
Book
A Practical Guide to Neural Nets
TL;DR: This book discusses how Neural Networks Relate to Other Technologies?
Journal ArticleDOI
Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.
TL;DR: The prospects for adoption of large-scale diagnostic systems are better now than ever before, due to enthusiasm for implementation of the electronic medical record in academic, commercial, and primary care settings.
Journal ArticleDOI
An expert system approach based on principal component analysis and adaptive neuro-fuzzy inference system to diagnosis of diabetes disease
Kemal Polat,Salih Güneş +1 more
TL;DR: The aim of this study is to improve the diagnostic accuracy of diabetes disease combining PCA and ANFIS using adaptive neuro-fuzzy inference system and it was very promising with regard to the other classification applications in literature for this problem.
Journal ArticleDOI
A cascade learning system for classification of diabetes disease: Generalized Discriminant Analysis and Least Square Support Vector Machine
TL;DR: The aim of this study is to diagnosis of diabetes disease, which is one of the most important diseases in medical field using Generalized Discriminant Analysis (GDA) and Le least Square Support Vector Machine (LS-SVM) and a new cascade learning system based on Generalizeddiscriminant analysis and Least Square support Vector Machine is proposed.