Volume 20, Issue 67 (1-2020)                   Zanko J Med Sci 2020, 20(67): 63-75 | Back to browse issues page

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damanabi S, ghaderkhany S, Samad-Soltani T, rahimi E. Designing of Interactive Electronic Guideline in Pneumonia. Zanko J Med Sci 2020; 20 (67) :63-75
URL: http://zanko.muk.ac.ir/article-1-471-en.html
Tabriz University of Medical Sciences
Abstract:   (1924 Views)
Background and Aim: Pneumonia is an inflammatory condition of the lung that mainly affects the alveoli and can become a very dangerous cause and cause death. According to the World Health Organization, CAP kills one person every 20 seconds.Therefore, this study aimed to design an interactive guide line for pneumonia in diagnosis and presentation of appropriate treatment plan.
Material and Method: The present study was a developmental application that was developed in the descriptive, developmental and evaluation phases. The first phase including library study. In the second phase, the system based on intelligent methods and decision tree algorithm. In the evaluation phase, expert opinion was compared with system opinion. Performance, aesthetics, information, information quality were evaluated based on important accuracy and precision indices.
Results: Decision tree elements were derived from valid guides in the field of pneumonia. Confusion matrix was used to determine the accuracy of a physician's diagnosis and to compare it with the system. The data of 60 patients were entered into the system and the physician's diagnosis was compared with the system. Electronic Guideline is capable of classifying the severity and severity of pneumonia and predicting the mortality rate and type of drug prescribed and drug interactions in each class.
Conclusion: The findings showed that the designed system was useful and effective in assessing the severity and determination of the pneumonia treatment process. Therefore, Iran is among the countries with high prevalence of pneumonia. The use of information and technologies such as information systems and clinical decision support help physicians in the evaluation and treatment of pneumonia and improve the quality of services. The use of information and technologies such as information systems and clinical decision support physicians in the evaluation and treatment of pneumonia and improve the quality of services.
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Type of Study: Applicable | Subject: Special
Received: 2019/06/17 | Accepted: 2019/08/7 | ePublished: 2020/01/30

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