Neural Network For The Estimation Of Ammonia Concentration In Breath Of Kidney Dialysis Patients
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 1
Abstract
Neural networks are an extremely powerful tool for data mining. They are especially useful in cases involving data classification where it is difficult to establish a pattern in the search space. In an era when artificial intelligence is increasingly being utilised in industrial and medical applications throughout the world, it is becoming evident that this is an emerging trend. This paper explores the idea of artificial intelligence by employing the use of a feed-forward neural network with two process layers to determine the concentration of ammonia in exhaled human breath. The human mouth contains many kinds of substances both in liquid and gaseous form. The individual concentrations of each of these substances could provide useful insight to the health condition of the entire body. Ammonia is one of such substances whose concentration in the mouth has revealed the presence or absence of diseases in the body. Kidney failure is one diesease which is identified by an extremely high ammonia content in human breath. This disease is as a result of the kidneys’ inability to process the body’s liquid waste. The result of this is the release of urea throughout the body which is dissipated in the form of ammonia through oral breath. The neural simulation is carried out using NeuroSolutions version 5 software. The neural network correctly identified the concentration of oral ammonia as an indication of kidney failure with an accuracy of 85%.
Authors and Affiliations
Ima O. Essiet
Keywords
Related Articles
- EP ID EP110097
- DOI -
- Views 70
- Downloads 0
Study of P2P Botnet
Abstract: Today, centralized botnets are still widely used. In a centralized botnet, bots are connected to several servers (called C&C servers) to obtain commands. This architecture is easy to construct and eff...
Handwritten Bangla Character Recognition Using Normalized Cross Correlation
Abstract: This paper presents a system for recognizing Bangla handwritten characters using template matching algorithm based on normalized cross-correlation. The Bangla alphabets Sorborno and Banjonborno have been...
Analysis of Development Factors for Asian Countries using DWM on Big Data
In today’s world, most of the developing countries are rising to become a developed country. There have been analysis of countries that experienced banking crisis in the past. However, the analysis included only data pre...
An Attack-resistant Watermark Resynchronization Scheme using LDFT and BSP
Abstract: Image watermarking is a method that embeds a watermark in the digital image by making small changes in the host data. In watermarking applications, the robustness of the watermark to the common signal processin...
Performance Analysis of Routing Protocols in MANET