Computer assisted medical decision-making system using genetic algorithm and extreme learning machine for diagnosing allergic rhinitis

2020 ◽  
Vol 16 (3) ◽  
pp. 148
Author(s):  
A. Kannan ◽  
H. Khanna Nehemiah ◽  
Kindie Biredagn Nahato ◽  
V.R. Elgin Christo ◽  
J. Brighty
Keyword(s):  
Genetic Algorithm ◽  
Decision Making ◽  
Allergic Rhinitis ◽  
Extreme Learning Machine ◽  
Medical Decision Making ◽  
Medical Decision ◽  
Computer Assisted ◽  
Decision Making System ◽  
Learning Machine

scholarly journals Computer-assisted Medical Decision-making System for Diagnosis of Urticaria

2016 ◽  
Vol 1 (1) ◽  
pp. 238146831667775 ◽  
Author(s):  
Jabez J. Christopher ◽  
Harichandran Khanna Nehemiah ◽  
Kannan Arputharaj ◽  
George L. Moses
Keyword(s):  
Decision Making ◽  
Medical Decision Making ◽  
Medical Decision ◽  
Computer Assisted ◽  
Decision Making System

Case Study of the Medical Decision-Making System ETL Abnormalities Processing Procedure

2012 ◽  
Vol 433-440 ◽  
pp. 894-899
Author(s):  
Hui Chen Tsai ◽  
Kuo Chung Lin ◽  
Ching Long Yeh
Keyword(s):  
Decision Making ◽  
Medical Decision Making ◽  
Medical Decision ◽  
Process Data ◽  
Customer Complaint ◽  
Decision Making System ◽  
Restoration Mechanism ◽  
Data Content ◽  
Content System

The primary purpose of this research is to resolve the problem of ETL operation failure in execution of ETL (Extraction, Transformation and Loading) by the medical decision-making system due to data content, system factors and defective program design, thereby affect online daily operation of the application system and even customer complaint. This research first research and develop how to record in database, whether successful or not, the number of ETL file conversion program (including tool and self-wrote PL/SQL program) execution process, data status, and execution time; followed by designing control mechanism and write Script for voluminous table restoration for automatic execution by the system; afterwards followed by research and develop system automatic execution of restoration to stop only the affected application programs of the table and design a restoration mechanism. Lastly, through verification, this R&D result would correctly restore the data and table required by ETL procedure.

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