Ayush to Kidney (AtoK) Data Science Model for Diagnosis and to Advice Through an Expert System
In the present geographical conditions and increased urbanization, the soil and groundwater are contaminated with excessive fluorine solvents. The fluorinated water causes serious kidney problems, it’s the need of the hour that man affected by kidney fail
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Ayush to Kidney (AtoK) Data Science Model for Diagnosis and to Advice Through an Expert System Kiran Kumar Reddi and Usha Rani Rella
Abstract In the present geographical conditions and increased urbanization, the soil and groundwater are contaminated with excessive fluorine solvents. The fluorinated water causes serious kidney problems, it’s the need of the hour that man affected by kidney failures should be made aware of the reason behind the disease and how the proceedings of the life time could battle the failure environment of kidney, how much amount water and other intakes of food, body rest, etc. should be carried out for life time. The expertise data science model can perform and accomplish the task of suggestion and clears all the fears. Thus making the intelligent model incorporated by data science and expert systems are combined work for ayush to kidney. The data science models helps in diagnosis of kidney diseases, reason for failure and measures of cure through “Data Science Advisory System”. We built an intelligent data science model to diagnose and advise the patient through expertise information about kidney life extension and its nurturing in a healthy way.
Keywords Machine learning Support vector machine (SVM) Self-organizing maps (SOM) Expert system
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Data science
Introduction
Our Vedas depicts that the five elements called pancha bhootas form the basic creation of universe. These are ‘air’ waste release by lungs, ‘fire’ waste through liver, ‘water’ waste through kidney. The kidney as an excretory organ serves the human system in performing the homeostasis. Nephron is the basic structural and functional unit of the kidney. Its chief function is to regulate the concentration of water and soluble substances like sodium salts by filtering the blood, reabsorbing what is needed and excreting the rest as urine. It has more than one million K.K. Reddi (&) U.R. Rella Department of Computer Science, Krishna University, Machilipatnam 521001, Andhra Pradesh, India e-mail: [email protected] © The Author(s) 2016 P.V. Lakshmi et al. (eds.), Computational Intelligence Techniques in Health Care, Springer Briefs in Forensic and Medical Bioinformatics, DOI 10.1007/978-981-10-0308-0_8
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nephron’s that are on duty continuously. Manocha [1] experimentally proved that the mammal that take water containing 5 ppm fluoride shows Cyto-chemical characteristics that effects the kidney functionality and toxic addition to the body [1]. Fluoride intake crossing the optimal range 0.7–1.2 mg/L water causes renal structure change decreases to downfall tabular function and forms a primary lesion that leads to disturbance to water processing of the kidney [2]. The water processing of the nephron is given in Fig. 8.1 [3]. The functionalities disturbance is statistically analyzed and predicted the stones in kidney and paved away to move towards the machine learning techniques namely c4.5 algorithms, to improvise the prediction rate [4]. The analysis and work nature is carried out
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