A Model for an Intelligent Support Decision System in Aquaculture

The paper purpose an intelligent software system agents–based to support decision in aquculture and the approach of fish diagnosis with informatics methods, techniques and solutions. A major purpose is to develop new methods and techniques for quick fish diagnosis, treatment and prophyilaxis at infectious and parasite-based known disorders, that may occur at fishes raised in high density in intensive raising systems. But, the goal of this paper is to presents a model of an intelligent agents-based diagnosis method will be developed for a support decision system.support decision system, diagnosis, multi-agent system, fish diseases

Portable decision support for diagnosis of traumatic brain injury

Early detection and diagnosis of Traumatic Brain Injury (TBI) could reduce significantly the death rate and improve the quality of life of the people affected if emergency services are equipped with tools for TBI diagnosis at the place of the accident. This problem is addressed here by proposing a portable decision support system called EmerEEG, which is based on Quantitative Electroencephalography (qEEG). The contributions of the paper are the proposed system concept, architecture and decision support for TBI diagnosis. By the virtue of its easily operable mobile system, the proposed solution for emergency TBI diagnosis provides valuable decision support at a very early stage after an accident, thereby enabling a short response time in critical situations and better prospects for the people affected

DEVELOPMENT OF A PROTOTYPE OF MALARIA CLINICAL DIAGNOSTIC DECISION SUPPORT SYSTEM

Introduction : Malaria is a public health problem that still causes mortality, particularly in high risk population. Kabupaten Nias is one of the malaria endemic areas. Malaria diagnosis is mainly determined according to physical examination, despite the fact that laboratory examination is the gold standard of malaria diagnosis. To help health workers in diagnosing malaria accurately, it is necessary to develop a decision support system for malaria diagnosis.Objectives: To develop a prototype of malaria diagnostic decision support system.Methods: It was a descriptive study with action research design to explore each phase in the development of a prototype of malaria diagnostic decision support system. Participants of the study consisted of 5 general practitioners in RSU Gunungsitoli and 2 nurses in Puskesmas Gunungsitoli.Results: The study created an application model of computer-based malaria diagnostic decision support system designed using PHP programming language and MySQL database. This system worked by entering malaria clinical symptoms into the expert system, and data of symptoms were processed by the expert system to determine diagnosis and medical advice that was useful to assist health staff in making decision.Conclusion: Malaria diagnostic decision support system that had been developed attracted the interest of health workers and help them in diagnosing malaria clinically.Keywords: diagnostic decision support system, prototype, malaria, computer application, Gunungsitol