International Journal of Research in Arts and Science
ISSN: 2394-9759 | Frequency: 4 Issues/Year
Impact Factor: 0.387 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)
A Holistic Research on Iridology-Based Prediction of Chronic Diseases
Abstract:
Healthcare industry provides high-quality medical services to predict and cure disease. The disease can be predicted by pathological fluids samples or by scanned images. The scanned images are used to capture the affected organs directly. The main advantage of scanning the visual receptor region is to predict the disease at the early onset of disease. Iridology is defined as the technique used to diagnosis every organs function for predicting the disease earlier. The current research status of iridology-based disease prediction is used to forecast heart disease, lung disease, stomach hyperacidity through eye color and iris markings. The main aim of this chapter is to investigate the techniques implemented in the disease prediction. The accuracy of these techniques is compared to identify the best technique and the scope to improve the techniques.
Keywords: Iridology, Disease Prediction, Metabolic disease, Classification Algorithms, learning techniques
Volume: 5 | Issue: Holistic Research Perspectives [Volume 4]
Pages: 271-281
Issue Date: August , 2019
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