TY - JOUR
T1 - Physical Activity Recommendation System Based on Deep Learning to Prevent Respiratory Diseases
AU - Bhimavarapu, Usharani
AU - Sreedevi, M.
AU - Chintalapudi, Nalini
AU - Battineni, Gopi
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/10
Y1 - 2022/10
N2 - The immune system can be compromised when humans inhale excessive cooling. Physical activity helps a person’s immune system, and influenza seasonally affects immunity and respiratory tract illness when there is no physical activity during the day. Whenever people chill excessively, they become more susceptible to pathogens because they require more energy to maintain a healthy body temperature. There is no doubt that exercise improves the immune system and an individual’s fitness. According to an individual’s health history, lifestyle, and preferences, the physical activity framework also includes exercises to improve the immune system. This study developed a framework for predicting physical activity based on information about health status, preferences, calorie intake, race, and gender. Using information about comorbidities, regions, and exercise/eating habits, the proposed recommendation system recommends exercises based on the user’s preferences.
AB - The immune system can be compromised when humans inhale excessive cooling. Physical activity helps a person’s immune system, and influenza seasonally affects immunity and respiratory tract illness when there is no physical activity during the day. Whenever people chill excessively, they become more susceptible to pathogens because they require more energy to maintain a healthy body temperature. There is no doubt that exercise improves the immune system and an individual’s fitness. According to an individual’s health history, lifestyle, and preferences, the physical activity framework also includes exercises to improve the immune system. This study developed a framework for predicting physical activity based on information about health status, preferences, calorie intake, race, and gender. Using information about comorbidities, regions, and exercise/eating habits, the proposed recommendation system recommends exercises based on the user’s preferences.
KW - communicable diseases
KW - exercises
KW - immunity
KW - influenza
KW - meditation
KW - yoga
UR - https://www.scopus.com/pages/publications/85140592718
U2 - 10.3390/computers11100150
DO - 10.3390/computers11100150
M3 - Article
AN - SCOPUS:85140592718
SN - 2073-431X
VL - 11
JO - Computers
JF - Computers
IS - 10
M1 - 150
ER -