Modeling With Using Artificial Intelligent Networking Approach: Petri Net, Markov Chain And Genetic Algorithm Modeling To Improve Performance In Medicine

Darvish, Neda; Muminov, Khikmat Kh.; Darvish, Hoda; Darvish, Neda; Muminov, Khikmat Kh.; Darvish, Hoda

ISBN 10: 3846511099 / ISBN 13: 9783846511091

Edité par Lap Lambert Academic Publishing, 2011

116 pages. 8.66x5.91x0.27 inches. In Stock. N° de réf. du vendeur 3846511099

Synopsis :

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

Présentation de l'éditeur: 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

Détails bibliographiques

Titre : Modeling With Using Artificial Intelligent ...
Éditeur : Lap Lambert Academic Publishing
Date d'édition : 2011
Reliure : Paperback
Etat : Brand New