Model-Based Decision Support System for Individual Prescription of the Dialysate Bicarbonate Concentration in Hemodialysis

1992 ◽  
Vol 15 (8) ◽  
pp. 447-455 ◽  
Author(s):  
O. Thews
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Water Distribution ◽  
Treatment Time ◽  
Linear Optimization ◽  
Sodium Concentration ◽  
Bicarbonate Concentration ◽  
Acid Base ◽  
Dynamic Exchange

A decision support system has been developed that determines the optimal dialysate bicarbonate concentration in hemodialysis therapy for each patient individually. The knowledge about the behavior of the acid-base state during treatment has been provided by a mathematical model for the description of dynamic exchange processes during hemodialysis. This model simulates the sodium and water distribution, the acid-base state as well as the ventilation. The decision support system uses the model for the prediction of the end-dialysis acid-base state and calculates by means of linear optimization the dialysate bicarbonate concentration which is necessary to reach a specified end-dialysis state. If the aspired acid-base state can not be reached, the system varies the dialysate sodium concentration and the treatment time. The whole program can be used on a PC and is easy to use. One decision making process lasts between 10 seconds and 5 minutes depending on the computer.

Hydronomeas 2020: Open-source decision support system for water resources management

2020 ◽  
Author(s):  
George Karavokiros ◽  
Dionysios Nikolopoulos ◽  
Stavroula Manouri ◽  
Andreas Efstratiadis ◽  
Christos Makropoulos ◽  
...  
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Decision Support System ◽  
Open Source ◽  
Support System ◽  
Early Stage ◽  
Linear Optimization ◽  
Optimization Approach ◽  
The City ◽  
Resources Planning

<p>Over the last 30 years, numerous water resources planning and management studies in Greece have been conducted by using state-of-the-art methodologies and associated computational tools that have been developed by the Itia research team at the National Technical University of Athens. The spearhead of Itia’s research toolkit has been the Hydronomeas decision support system (which stands for “water distributer” in Greek) supporting multi-reservoir hydrosystem management. Its methodological framework has been based on the parameterization-simulation-optimization approach comprising stochastic simulation, network linear optimization for the representation of water and energy fluxes, and multicriteria global optimization, ensuring best-compromise decision-making. In its early stage, Hydronomeas was implemented in Object Pascal – Delphi. Currently, the software is being substantially redeveloped and its improved version incorporates new functionalities, several model novelties and interconnection with other programs, e.g., EPANET. Hydronomeas 2020 will be available at the end of 2020 as a free and open-source Python package. In this work we present the key methodological advances and improved features of the current version of the software, demonstrated in the modelling of the extensive and challenging raw water supply system of the city of Athens, Greece.</p>

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