Using Neural Network to predict the Hypertension
Zainab Assaghir
, Ali Janbain , Sara Makki , Mazen Kurdi , Rita Karam
Neural Network, Hypertension, Medical Diagnosis; Artificial Intelligence
Development of tools to facilitate diagnosis of some disease such as cancer, cardiovascular, hypertension, diabetes, is of great relevance in the medical field. In this paper, we will present a method based on neural network to detect the hypertension based on some risk factors including obesity, stress, systolic and diastolic blood pressure, physical activities, tobacco consumption and diet lifestyle. Data represents a group of students from the Lebanese universities. A descriptive statistical analysis is performed then a neural network predicting systolic and diastolic blood pressure is designed and implemented. Descriptive statistics show some difference between male and female groups. Tobacco consumption is mostly present in the male group more than female. In the other hand, the neural network consists of ten inputs and two outputs. The outcomes of the network are diastolic and systolic blood pressure. Accurate results have been obtained which proves the effectiveness of the proposed neural networks can be effective tools for preliminary detection of hypertension.
"Using Neural Network to predict the Hypertension", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 2, page no.35 - 38, February-2017, Available :https://ijsdr.org/papers/IJSDR1702009.pdf
Volume 2
Issue 2,
February-2017
Pages : 35 - 38
Paper Reg. ID: IJSDR_170033
Published Paper Id: IJSDR1702009
Downloads: 000347061
Research Area: Applied Mathematics
Country: Beirut, Lebanon , Lebanon
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
