A Hybrid Intelligent Model for Enhancing Healthcare Services on Cloud Environment
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 11
Abstract
Cloud computing plays a major role in addressing the challenges of healthcare services such as diagnosis of diseases, telemedicine, maximize utilization of medical resources, etc. Early detection of chronic kidney disease on cloud environment is a big challenge that is facing healthcare providers. This paper concentrates on the using of intelligent techniques such as Decision Tree, Clustering, Linear Regression, Modular Neural Network, and Back Propagation Neural Network to address this challenge. In this paper, the researchers propose a hybrid intelligent model based on cloud computing for early revealing of chronic kidney disease. Two intelligent techniques were used: linear regression and neural network. Linear regression was used to define crucial factors that have an impact on chronic kidney disease. The proposed model for early revealing of chronic kidney disease was built using Neural Network. The accuracy of proposed model is 97.8%. This model outperforms on the other models existed in the previous works in terms of the accuracy and precision, recall and F1 score.
Authors and Affiliations
Ahmed Abdelaziz, Ahmed S. Salama, A. M. Riad
Keywords
Related Articles
- EP ID EP417584
- DOI 10.14569/IJACSA.2018.091105
- Views 100
- Downloads 0
: Ear Recognition using Dual Tree Complex Wavelet Transform
nce last 10 years, various methods have been used for ear recognition. This paper describes the automatic localization of an ear and it’s segmentation from the side poses of face images. In this paper, authors have...
Implementation of a Formal Software Requirements Ambiguity Prevention Tool
The success of the software engineering process depends heavily on clear unambiguous software requirements. Ambiguity refers to the possibility to understand a requirement in more than one way. Unfortunately, ambiguity i...
A Portable Natural Language Interface to Arabic Ontologies
With the growing expansion of the semantic web and its applications, providing natural language interfaces (NLI) to end-users becomes essential to querying RDF stores and ontologies, using simple questions expressed in n...
Passenger and Luggage Weight Monitoring System for Public Transport based on Sensing Technology: A Case of Zambia
The prevalence of overloading, which is exceeding the maximum load weight, on public buses in Zambia is very rampant because there is currently no system to measure and monitor load weight at bus stations, apart from wei...
English to Creole and Creole to English Rule Based Machine Translation System
Machine translation is the process of translating a text from one language to another, using computer software. A translation system is important to overcome language barriers, and help people communicate between differe...