Abstract
Introduction: Probiotics are well-defined as live microorganisms that usefully affect the host and probiotic bacteria have been used intensely. For years to target gastrointestinal disease by rebalancing the compound microflora. Besides the gastrointestinal tract also the oral cavity is highly colonized by bacteria and many different bacterial species are part of the microbiota in the mouth, as it offers ideal conditions for bacteria with a stable temperature, moist surface with a relatively stable pH and regular supply of nutrients. Probiotic bacteria like Lactobacillus are a promising treatment strategy for oral disease with a microbiological etiology. To gain better results, many researchers that study and emphasize specific methods been tried to build a new or improved methodology.
 Objectives: The aimed of this study is to improve the performance of exponential growth by adding bootstrap and fuzzy techniques (Integrated exponential regression method). The aim of the research work is to develop a comprehensive framework for an integrated exponential regression model.
 Material and Methods: The data were taken from the present data available from the recently done by a researcher for nurturing selected microorganisms. The gathered data will be used for the exponential modeling and the efficiency of the model will be compared accordingly due to the predicted interval from the exponential regression method and an integrated exponential regression method. This paper also provides the algorithm for the prediction of cell growth and inferences.
 Results: The result shows that the average width for the exponential regression model was 19.2228 while an integrated exponential regression method was 0.0075. The average width of integrated exponential regression was smaller than the exponential regression. This clearly shows that the integrated exponential regression method is more efficient than exponential regression technique.
 Conclusion: This proposed method can be applied to small sample size data, especially when limited data is obtained.
 Bangladesh Journal of Medical Science Vol.19(3) 2020 p.552-557
Highlights
Probiotics are well-defined as live microorganisms that usefully affect the host and probiotic bacteria have been used intensely
Bacteria in Dental Caries The prevailing ecological view of the etiology of dental caries is more attuned to the polymicrobial nature of the dental plaque biofilm
Material and Methods Data Collection The data composed of two variables which are the days of the culture (x), bacterial growth (y), and the rate of the exponential growth of bacterial culture
Summary
Bacteria in Dental Caries The prevailing ecological view of the etiology of dental caries is more attuned to the polymicrobial nature of the dental plaque biofilm. Probiotic bacteria like Lactobacillus are a promising treatment strategy for oral disease with a microbiological etiology. Those include plaqueassociated diseases like dental caries, which is an infectious disease with microbial processes eroding and destroying the hard dental tissue or inflammation of periodontal tissue, namely gingivitis and the more severe periodontitis. ~y = (a 0 , c0 ) + (a1, c1 )x1 .the interaction between variables and higher-order terms are not included in the fuzzy linear regression defined in. Rabiatul Adawiyah Abdul Rohim, Wan Muhamad Amir W Ahmad, Noor Huda Ismail, Muhammad Azeem Yaqoob, Mohammad Khursheed Alam and Farah Muna Mohamad Ghazali.
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