Abstract
22Jul 2018 PRACTICAL CONSIDERATIONS FOR THE DIAGNOSIS AND MANAGEMENT OF ASTHMA PATIENTS. Kameswaran R , Glady Gloria Grant CJ , Sara Rose Eldhose , Krishnaveni Kandasamy , Shanmuga Sundaram Rajagopal Assistant Professor. Under graduate student, Department of Pharmacy Practice. Professor, Department of Pharmacology, J.K.K. Nattraja College of Pharmacy, Kumarapalayam-638183, Tamil Nadu, India.
Highlights
Asthma is a chronic inflammatory disorder of the airways associated with a variable, widespread, airflow obstruction which is often reversible either spontaneously or with the treatment [1]
A diagnosis of asthma is objectively verified by the demonstration of variable airflow obstruction, either by reversibility to bronchodilators or steroids, spontaneous variations assessed by peak expiratory flow rate monitoring or airway hyperresponsiveness assessed by airway challenge tests such as exercise, methacholine or mannitol [4]
Diagnosis of asthma based on the artificial neural network:The aim of this study is to develop an intelligent system for detecting the presence or absence of asthma in which clinical features in terms of influencing the output are investigated and ordered, and only the effective features are used as the input of neural network. 70% of the data have been trained as the required networks' input to achieve the desired result and reduce errors, and the rest of the data are used to test the system
Summary
Asthma is a chronic inflammatory disorder of the airways associated with a variable, widespread, airflow obstruction which is often reversible either spontaneously or with the treatment [1]. The diagnosis of asthma includes the spirometer test, temperature controlled laminar airflow in severe asthma for exacerbation reduction (THE LASER TRIAL), artificial neural network, fractional exhaled nitric oxide (FeNO), skin prick test, etc. The diagnosis of asthma is usually based on patients clinical history, symptoms, signs, and lung function test.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
