Clinical and radiological decision support system prototype for characterisation of interstitial lung disease (ILDS)

2016 ◽  
Author(s):  
S. Mishra ◽  
M.I. Shah ◽  
M. Sarkar ◽  
N. Chaudhary ◽  
S. Sharma ◽  
...  
Keyword(s):  
Decision Support ◽  
Interstitial Lung Disease ◽  
Decision Support System ◽  
Lung Disease ◽  
Support System ◽  
System Prototype

scholarly journals THE DECISION SUPPORT SYSTEM OF PUBLIC SERVICE SATISFACTION USING TOPSIS METHOD AT REGIONAL I BKN YOGYAKARTA

2021 ◽  
Vol 2 (1) ◽  
pp. 27-32
Author(s):  
Benedictus Fredika Apriawan Santoso ◽  
Indah Susilawati
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Public Service ◽  
Service Satisfaction ◽  
Satisfaction Survey ◽  
Topsis Method ◽  
The Real ◽  
The Public ◽  
System Prototype

Public service satisfaction is the result of public opinion and assessment for the service performance provided by the public service organizer apparatus. In real action, this public satisfaction survey is conducted periodically to discover the real value owned and anything that the public wants to get for its services. This then becomes one of the commitments of the Regional I BKN Yogyakarta in implementing the predetermined quality policies and service standards which are useful for improving the service quality for the public. Hence, additional efforts are needed in processing the data obtained from the public satisfaction survey report results to follow up according to the real requirements expected by the public in making decisions, so that they can be right on target. Researchers aim to make a decision support system prototype that gives an overview about the public service satisfaction rate, using the TOPSIS Method with the parameter data of satisfaction criteria and the survey data as well as the value range of the public service satisfaction survey in January to March 2019. Based on the data of the public service satisfaction test for that 3 months, either the results of the system prototype calculation or the manual calculation, 3-period compatibility with 100% was obtained.

scholarly journals A Clinical Decision-Support System Based on Three-Stage Integrated Image Analysis for Diagnosing Lung Disease

Symmetry ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 386
Author(s):  
Ching-Hsue Cheng ◽  
Hsien-Hsiu Chen ◽  
Tai-Liang Chen
Keyword(s):  
Lung Cancer ◽  
Image Analysis ◽  
Decision Support ◽  
Decision Support System ◽  
Lung Disease ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Clinical Decision ◽  
Ct Image

Thoracic computed tomography (CT) technology has been used for lung cancer screening in high-risk populations, and this technique is highly effective in the identification of early lung cancer. With the rapid development of intelligent image analysis in the field of medical science and technology, many researchers have proposed computer-aided automatic diagnosis methods for facilitating medical experts in detecting lung nodules. This paper proposes an advanced clinical decision-support system for analyzing chest CT images of lung disease. Three advanced methods are utilized in the proposed system: the three-stage automated segmentation method (TSASM), the discrete wavelet packets transform (DWPT) with singular value decomposition (SVD), and the algorithms of the rough set theory, which comprise a classification-based method. Two collected medical CT image datasets were prepared to evaluate the proposed system. The CT image datasets were labeled (nodule, non-nodule, or inflammation) by experienced radiologists from a regional teaching hospital. According to the results, the proposed system outperforms other classification methods (trees, naïve Bayes, multilayer perception, and sequential minimal optimization) in terms of classification accuracy and can be employed as a clinical decision-support system for diagnosing lung disease.

Decision Support System Prototype to Strengthening the Organization for Children Malnutrition

2016 ◽  
Vol 22 (8) ◽  
pp. 1901-1904
Author(s):  
Boy Subirosa Sabarguna ◽  
Rosa Diniari ◽  
. Abdurakhman
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Prototype
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