Abstract

"Health is Wealth,"- The most well-known golden maxim, but most of the time, we ignore our health in favor of our professional pursuits. Good health covers not just our physical but also our psychological well-being. Individuals have forgotten that preserving our wellbeing contributes a large amount of effort to our advancement in this growing-race. Individuals agree that juggling the demands of life in clinical medicine poses a unique challenge, but good health can be sustained by drinking plenty of water and sleeping enough. We conducted an online questionnaire survey with a total of 30 questions, and the data gathered will be used to continue our hypotheses. Our main goal in this study will be to focus on the significance of drinking water and sleep respective to their age using machine learning regression algorithms. Therefore, a corrective statistical analysis can be predicted based on a dependent and independent variable.

Details

Title
Impact Analysis of Hydration and Sleep Intervention Using Regression Techniques
Author
Madhavi, K Reddy 1 ; Sunitha, G 2 ; Avanija, J 1 ; Raju, S Viswanadha 3 ; Abbagalla, Sindhooja 4 

 Associate Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, A.Rangampet, Tirupati 
 Professor, Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College, A.Rangampet, Tirupati 
 Associate Professor, Department of Computer Science and Engineering, JNTUHCEJ, Jagithyal 
 Department of Computer Science and Engineering, NIT Puducherry 
Pages
2129-2133
Section
Research Article
Publication year
2021
Publication date
2021
Publisher
Ninety Nine Publication
e-ISSN
13094653
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2624696936
Copyright
© 2021. This work is published under https://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.