Background: Physical characteristics including body size and configuration, are considered
as one of the key influences on the optimum performance in athletes. Despite several analyzing
methods for modeling the slimming estimation in terms of reduction in anthropometric indices,
there are still weaknesses of these models such as being very demanding including time
taken for analysis and accuracy.
Objectives: This research proposes a novel approach for determining the slimming effect of a herbal
composition as a natural medicine for weight loss.
Methods: To build an effective prediction model, a modern hybrid approach, merging adaptivenetwork-
based fuzzy inference system and particle swarm optimization (ANFIS-PSO) was constructed
for prediction of changes in anthropometric indices including waist circumference,
waist to hip ratio, thigh circumference and mid-upper arm circumference, on female athletes after
consumption of caraway extract during ninety days clinical trial.
Results: The outcomes showed that caraway extract intake was effective on lowering all anthropometric
indices in female athletes after ninety days trial. The results of analysis by ANFIS-PSO
was more accurate compared to SPSS. Also, the efficiency of the proposed approach was confirmed
using the existing data.
Conclusion: It is concluded that a development in predictive accuracy and simplification capability
could be attained by hybrid adaptive neuro-fuzzy techniques as modern approaches in detecting
changes in body characteristics. These developed techniques could be more useful and valid than
other conventional analytical methods for clinical applications.