The purpose of this paper is to present a method that utilizes lung sounds (LS) for quantitative assessment of patient health, based on the fact that LS are relates to respiratory disorders. Traditional asthma evaluation methods may involve auscultation and spirometry. However, improved diagnosis opportunities can be offered by utilizing sensitive electronic stethoscopes (now widely available), and the application of quantitative signal analysis methods. In this context, we carried out experiments using normal LS from both the RALE repository and recordings from students. In this paper, we propose an acoustic evaluation methodology based on the Gaussian Mixed Models (GMM) that should assist in broader analysis, identification, and differentiation of LS. Additionally, frequency domain analysis of peculiar sounds reflected during wheezes and crackles, and their differentiation from normal respiratory sounds should assist in improved diagnosis.