Abstract: The main purpose of this study is to design universally accepted approach to weaning patients from ventilator. Fuzzy logic controller was used for achieving this aim. The reason for the use of fuzzy controller is that it represents expert notions employed in decision making. The developed all protocols were designed on LabVIEW software. The inputs of the developed system were PH, partial carbondioxide percent (PaCO2), saturation of oxygen (SpO2), the rate of PaO2/FiO2, saturation of oxygen (SaO2), hemoglobin (Hb) and positive end expiratory pressure (PEEP). 20 clinical scenarios were generated by using Monte-Carlo simulations and Gaussian distribution method to test performance of the developed protocol. The generated scenarios were applied to the developed protocol. Clinician was asked to evaluate the each scenario to determine weaning probability. Student t-test for p<0.05 was used to show statistical difference between the developed protocol and clinician’s evaluation. According to

• Publication Date: 13-Mar-2016
• DOI: 10.15224/978-1-63248-087-3-20
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Abstract: The inference of regulators is the core factor in interpreting the actual regulatory conditions in gene regulatory networks (GRNs). Various methods have been developed to reconstruct GRNs with the motivation of improving the accuracy and scalability of network inference. Thus, this study will brief the structure of GRNs, discuss current methods of GRNs reconstruction and problems when dealing with gene perturbation data. Most of the information gathered from bioinformatics and system biology literature. At the end of the study several of GRNs reconstruction methods will be reviewed and identified their problem when dealing with gene perturbation data. This study is useful as a reference to develop more accurate GRNs inference methods particular for gene perturbation data

• Publication Date: 13-Mar-2016
• DOI: 10.15224/978-1-63248-087-3-51
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