9783846511091 - Modeling with Using Artificial Intelligent Networking Approach: Petri Net, Markov Chain and Genetic Algorithm Modeling to Improve Performance in Medicine de Darvish... (7 resultados)

Paperback. Condición: Brand New. 116 pages. 8.66x5.91x0.27 inches. In Stock.

Taschenbuch. Condición: Neu. Modeling with Using Artificial Intelligent Networking Approach | Petri Net, Markov Chain and Genetic Algorithm Modeling to Improve Performance in Medicine | Neda Darvish (u. a.) | Taschenbuch | 116 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783846511091 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

paperback. Condición: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the largest body of health care and treatment services to societies, in each hospital the human resource costs receive the great amount of considered budget and credit to the health and treatment sector of a country. Although determining the optimized number of staff needed for each ward of hospital is highly effective on the service quality, it is among the subject that any clear standards have not been written for it. This research has been done to set staff's shift schedule and determining the needed number of staff to increase the model hospital productivity and minimize its costs with help of intelligence systems. Since the presence of paints in the hospital and discharge them can be considered as a fragmented system, in the first step with Markov 's procedures specifications we can estimate wisely about the system conditions such as the number of needed beds and occupied beds which can be very useful for optimizing capacities usage. To develop the model, an approach is stated for minimizing the costs as the second step with assist of Petri's network. Finally, to control and to optimize, the model is presented with applying genetic algorithm for optimized shifting of huma 116 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Darvish NedaNeda Darvish is PhD Student of Artificial Networking modeling in Physical-Technical Institute of Academy of Science of Republic of Tajikistan. She Interested in artificial networking Modeling and She has many articles in .

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As the largest body of health care and treatment services to societies, in each hospital the human resource costs receive the great amount of considered budget and credit to the health and treatment sector of a country. Although determining the optimized number of staff needed for each ward of hospital is highly effective on the service quality, it is among the subject that any clear standards have not been written for it. This research has been done to set staff's shift schedule and determining the needed number of staff to increase the model hospital productivity and minimize its costs with help of intelligence systems. Since the presence of paints in the hospital and discharge them can be considered as a fragmented system, in the first step with Markov 's procedures specifications we can estimate wisely about the system conditions such as the number of needed beds and occupied beds which can be very useful for optimizing capacities usage. To develop the model, an approach is stated for minimizing the costs as the second step with assist of Petri's network. Finally, to control and to optimize, the model is presented with applying genetic algorithm for optimized shifting of humaVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 116 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the largest body of health care and treatment services to societies, in each hospital the human resource costs receive the great amount of considered budget and credit to the health and treatment sector of a country. Although determining the optimized number of staff needed for each ward of hospital is highly effective on the service quality, it is among the subject that any clear standards have not been written for it. This research has been done to set staff's shift schedule and determining the needed number of staff to increase the model hospital productivity and minimize its costs with help of intelligence systems. Since the presence of paints in the hospital and discharge them can be considered as a fragmented system, in the first step with Markov 's procedures specifications we can estimate wisely about the system conditions such as the number of needed beds and occupied beds which can be very useful for optimizing capacities usage. To develop the model, an approach is stated for minimizing the costs as the second step with assist of Petri's network. Finally, to control and to optimize, the model is presented with applying genetic algorithm for optimized shifting of huma.