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A Customized Conversational System Using Big Data Analytics for Thyroid Prediction
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3
Autoren
2025
Jahr
Abstract
The imperative and essential task in healthcare field is to diagnosis the health conditions. Diseases like thyroid, diabetes, migraine can be diagnosed early and can be treated at the early stage. Likewise, these patients required regular monitoring. At the early stage, these diseases can be treated by regular exercise (Yoga) and proper diet with Aurvedic healing. This study proposed a conversational system which will find thyroid dysfunction using the symptoms of daily routine life of the patient. The system will predict thyroid disease using different big data analytics and machine learning approaches using symptoms and clinical test report and find the TSH, T3, T4 correlation towards hyperthyroidism and hypothyroidism. This chapter begins with an introduction of data analytics, exploring the thyroid disease and its symptoms. Here, a detailed discussion is provided of a customized conversational system using big data analytics for thyroid prediction through system architecture, methodology and future enhancement.
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