Design of Personalized Diet and Physical Activities Recommendation Framework for Hypothyroid Patients
Vaishali S Vairale1, Samiksha Shukla2

1Vaishali S. Vairale, Department of Computer Science & Engineering, Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India.
2Dr. Samiksha Shukla, Department of Data Science, CHRIST (Deemed to be University), Lavasa, Pune Campus, Pune, India. 

Manuscript received on 11 August 2019. | Revised Manuscript received on 15 August 2019. | Manuscript published on 30 September 2019. | PP: 5441-5445 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4035098319/2019©BEIESP | DOI: 10.35940/ijrte.C4035.098319
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Abstract: These days, hypothyroid disease is quickly growing among individuals. In India, one out of eight women experiences hypothyroid disorder because of iodine deficiency. It is necessary to maintain the thyroid hormone levels because it may lead to thyroid cancer. There is a need to consume an adequate amount of iodine intake and other nutrients required to balance thyroid hormones levels. So, patients should follow a customized daily diet and exercise plan to meet their nutritional needs. These recommendations help hypothyroid patients to enhance their metabolism and to adjust thyroid hormones levels. Most of the existing online systems usually provide diet recommendations in general forms. Such recommendations are insufficient for any patient suffering from a specific disease. This paper provides a personalized recommendation framework to provide appropriate diet plans and physical activities to patients. These recommendations are based on their clinical data and personal choices. Validation of recommendations can be made by combining both domains like human expertise and computer technologies.
Keywords: Personalized, Recommendation Framework, Diet and Physical Activities, Hypothyroid Disorder.

Scope of the Article:
Patterns and Frameworks