Application of Cloud Computing in the Prediction of Exercise Improvement of Cardiovascular and Digestive Systems in Obese Patients
Keyword(s):
Based on the cardiovascular and digestive problems of obese patients, this paper adopted the cloud computing method and selected 100 subjects with big data (23 normal weight subjects, 3740 overweight patients, and 40 obese patients) as the research objects, studying the heart configuration and their digestive system of obese people. Results show that BMI = L (24 ≥ BMI > 27.9) and BMI = XL (BMI > 27.9) were identified as target correlation projects in this experiment, associated with each cardiac structural parameters, respectively. Cloud computing facilitates early detection, early prevention, and early intervention in heart configuration changes in overweight and obese patients.
Evaluation of dietary habits and nutritional content of food intake in overweight and obese patients
2014 ◽
Vol 21
(1)
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pp. 29-35
Keyword(s):
Body Fat
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2011 ◽
Vol 58
(5)
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pp. 376-384
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Keyword(s):
2019 ◽
Vol 40
(6)
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pp. 996-1008
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