Chronic Disease Model

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Abstract – In these days, chronic diseases are the imperative reason for death in the world. Therefore, there is a noteworthy increment in consideration being paid to individual wellness as a preventative methodology in healthcare. However, creating and building a prediction model for chronic diseases is an extraordinary change to healthcare technology on the premise of data-analysis and decision-making level. In this paper, effective mechanisms have been used for chronic disease prediction by mining the data containing historical health records. Here, we used Naïve Bayes, Decision tree, Support Vector Machine (SVM) and Artificial Neural Networks (ANN) classifiers for the diagnosis of diabetes and heart disease. In this study, we also present …show more content…
Of those three parts, data collection and data

sharing have been successfully achieved by implementing various technologies suitable for collecting and sharing health care records.

One of the prominent dimensions in health care is to design services and manage resources by understanding patient conditions. Such situations may include not only chronic conditions a patient might be suffering from, but also external factors such as mode of admission into the health care facility, length of stay in the hospital, patient age, gender, ethnicity, and so on [2].

Further foray into analytics has provided tremendous advantages that assist in designing follow-up services specifically catering to chronic illnesses, thereby reducing costs significantly and improving health care services [2].

There are a few major data mining methods have been developed and utilized as a part of data mining. Data mining strategies are utilized as a part of healthcare administration for, Diagnosis and Treatment, Healthcare Resource Administration, Customer Relationship Administration and Fraud and Anomaly Detection. Data mining methods can help Physicians recognize successful medications and best practices, and Patients get better and more moderate healthcare administrations …show more content…
As per the American Diabetes Association, 29.1 million individuals in the United States (9.3% of the population), had diabetes in 2012. Among this population, there were 8.1 million individuals who were undiscovered. The occurrence of diabetes continues expanding, with 1.7 million new analyses made in 2012. What's more, 86 million people more than 20 years of age had prediabetes, and could be thought to be in a state in the middle of health and chronic disease. Diabetes remains the seventh driving reason for death in the United States in 2010, with 69,071 deaths connected straightforwardly to it, and some more (an aggregate of 234,05) having it as the basic or contributing cause [5]. So the compelling administration of health, pre-diabetes, and diabetes are critical
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