scholarly journals Aggrandizing the Accuracy of Body Fat Percentage by Stratification using Decision Tree

2019 ◽  
Vol 8 (11) ◽  
pp. 1883-1886
Keyword(s):  
Decision Tree ◽  
Body Fat ◽  
Information Gain ◽  
Classification Model ◽  
Genetic Constitution ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Institutional Ethics ◽  
And Gender ◽  
Madras Medical College

Bariatrics is the branch of science which deals with obesity and its related surgical procedures. A person’s physical indolence, unhealthy food habits and genetic constitution emanates as the fons et origo of health gremlins. Multifaceted indagations have been worked on the diverse and heterogenous obstinate concerns caused due to obesity. Anatomization of body fat percentage has become a rudimentary regimen for every individual to be done in a fastidious manner. The whilom work anent body fat percentage entailed Body Mass Index (BMI) with respect to age and gender of a person. The anatomical conformation of an individual unraveling the fat constitution and the muscle tissue composition is not computationally enumerated using BMI. Thus, the formula using BMI dempers the veracity for a person having more muscle mass than fat mass and speciously vitiates the fat percentage of that person. The proposed novel formula is analyzed by cross-validated classification model using decision tree, and is effectuated by implementing information gain. This accentuates the coherence, efficacy and accuracy of the derived body fat percentage for a person. The Ethical Committee approval for this study has been obtained from the Institutional Ethics Committee, Madras Medical College, Chennai. The empirical study has been simulated using Matlab and the results have been successfully acquired in the GUI mode.

scholarly journals An Entropy based Classification of Body Fat using Fuzzy Rules Commingled with Genetic Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 2493-2496
Keyword(s):  
Genetic Algorithm ◽  
Body Fat ◽  
Fuzzy Rules ◽  
Genetic Constitution ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Institutional Ethics ◽  
Ethical Committee Approval ◽  
And Gender ◽  
Madras Medical College

A perennial inflated malady under the radar which has become an imperative thrust of colloquies in various parts of the world is “Obesity”. It is a health gremlin which curtails a person’s quotidian lifestyle and stems from the physical apathetic torpor, phrenic nerves, deleterious food habits and the frailty of genetic constitution. Bariatrics is that discipline of science which deals with the surgical procedures and consultations for obese individuals. Prolific research and anatomizations have been carried out on the sundry tenacious health impediments germinating due to obesity. The assaying of body fat percentage of every individual in a punctilious method is a desideratum. The previous work entailing body fat percentage comprehensively included an individual’s Body Mass Index (BMI) with respect to their age and gender. The factual composition of a person’s fat constitution and the muscle tissue configuration is not computationally explicated using BMI. Thus, the strictures imposed by the formula vitiates the veracity for an individual having more muscle mass than fat mass. The proposed indagation gives a pellucid, novel formula which is procured through the integrant crude parameters of an individual. This aids in overcoming the fallibilities of the previous formula for body fat. The classification accuracy is augmented by implementing fuzzy rules synthesized into genetic algorithm. The Ethical Committee approval for this study has been obtained from the Institutional Ethics Committee, Madras Medical College, Chennai. The empirical study has been simulated using Matlab and the results have been successfully acquired in the GUI mode.

scholarly journals Agnizing Sarcopenia and Coherent Variable Optimization of Body Fat Percentage using Genetic Algorithms and Regression

2019 ◽  
Vol 9 (2) ◽  
pp. 1357-1360
Keyword(s):  
Body Fat ◽  
Impedance Analysis ◽  
The Body ◽  
Impedance Method ◽  
Body Fat Percentage ◽  
Electric Impedance ◽  
Fat Percentage ◽  
Institutional Ethics ◽  
And Gender ◽  
Madras Medical College

Obesity is a malady which poses wide threats across the world with its augmented inflation. A domineering determinant to most pandemic diseases in the human body is the agglomeration of body fat. Therefore, an apposite anatomization of body fat estimation for every individual is incumbent. The previous work aberrates and pioneered the implementation of attributes from the lipid profile and Bio-Electric Impedance Analysis (BIA) method of a person, from the conventional use of attributes such as BMI, age and gender to obtain the value of body fat percentage. But the proposed analysis meliorates the accuracy of body fat percentage and resuscitated the gamut of health gremlins it vanguards to. This paper also delineates the variable optimization using regression and genetic algorithm for the attributes incorporated to procure the body fat percentage. Thereby corroborating and revamping the veracity of the novel body fat percentage derived using lipids and the BIA method. The study has further helped in diagnosing a disease known as sarcopenia. The samples from the blood tests and Bio-Electric Impedance method have been procured from the Institute of Bio-Chemistry, after obtaining the consent from the Institutional Ethics Committee, Madras Medical College, Chennai. The simulations are carried out in MATLAB GUI and the results have been successfully obtained.

Comparison of structured and unstructured physical activity training on predicted VO2max and heart rate variability in adolescents – a randomized control trial

2017 ◽  
Vol 28 (3) ◽  
Author(s):  
Vivek Kumar Sharma ◽  
Senthil Kumar Subramanian ◽  
Krishnakumar Radhakrishnan ◽  
Rajathi Rajendran ◽  
Balasubramanian Sulur Ravindran ◽  
...  
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Body Fat ◽  
Aerobic Capacity ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Maximal Aerobic Capacity ◽  
And Gender

AbstractBackground:Physical inactivity contributes to many health issues. The WHO-recommended physical activity for adolescents encompasses aerobic, resistance, and bone strengthening exercises aimed at achieving health-related physical fitness. Heart rate variability (HRV) and maximal aerobic capacity (VO2max) are considered as noninvasive measures of cardiovascular health. The objective of this study is to compare the effect of structured and unstructured physical training on maximal aerobic capacity and HRV among adolescents.Methods:We designed a single blinded, parallel, randomized active-controlled trial (Registration No. CTRI/2013/08/003897) to compare the physiological effects of 6 months of globally recommended structured physical activity (SPA), with that of unstructured physical activity (USPA) in healthy school-going adolescents. We recruited 439 healthy student volunteers (boys: 250, girls: 189) in the age group of 12–17 years. Randomization across the groups was done using age and gender stratified randomization method, and the participants were divided into two groups: SPA (n=219, boys: 117, girls: 102) and USPA (n=220, boys: 119, girls: 101). Depending on their training status and gender the participants in both SPA and USPA groups were further subdivided into the following four sub-groups: SPA athlete boys (n=22) and girls (n=17), SPA nonathlete boys (n=95) and girls (n=85), USPA athlete boys (n=23) and girls (n=17), and USPA nonathlete boys (n=96) and girls (n=84).Results:We recorded HRV, body fat%, and VO2 max using Rockport Walk Fitness test before and after the intervention. Maximum aerobic capacity and heart rate variability increased significantly while heart rate, systolic blood pressure, diastolic blood pressure, and body fat percentage decreased significantly after both SPA and USPA intervention. However, the improvement was more in SPA as compared to USPA.Conclusions:SPA is more beneficial for improving cardiorespiratory fitness, HRV, and reducing body fat percentage in terms of magnitude than USPA in adolescent individuals irrespective of their gender and sports activities.

Development of a Model to Estimate Body Fat Percentage using Decision Tree Analysis

2016 ◽  
Vol 48 ◽  
pp. 995-996
Author(s):  
Junbae Mun ◽  
James L. Farnsworth ◽  
Brian G. Ragan ◽  
Minsoo Kang
Keyword(s):  
Decision Tree ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Decision Tree Analysis ◽  
Fat Percentage ◽  
Tree Analysis

Subjective Sleep Debt Is Correlated with Body Fat Percentage Independent of Sleep Duration

Diabetes ◽  
2018 ◽  
Vol 67 (Supplement 1) ◽  
pp. 1675-P
Author(s):  
XIAO TAN ◽  
CHRISTIAN BENEDICT
Keyword(s):  
Sleep Duration ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Subjective Sleep ◽  
Sleep Debt

Comparison of the Effect of Soy protein and Whey protein on Body Composition: A Meta-Analysis of Randomized Clinical Trials

2021 ◽  
pp. 1-27
Author(s):  
Masoome Piri Damaghi ◽  
Atieh Mirzababaei ◽  
Sajjad Moradi ◽  
Elnaz Daneshzad ◽  
Atefeh Tavakoli ◽  
...  
Keyword(s):  
Body Composition ◽  
Whey Protein ◽  
Lean Body Mass ◽  
Body Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Soy Protein ◽  
Protein Supplementation ◽  
Body Fat Percentage ◽  
Fat Percentage

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

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