Smart Dynamic Resource Allocation Model for Patient-Driven Mobile Medical Information System Using C4.5 Algorithm

Autor: Ching-Kan Lo, Hsing-Chung Chen, Pei-Yuan Lee, Ming-Chou Ku, Lidia Ogiela, Cheng-Hung Chuang
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Journal of Electronic Science and Technology, Vol 17, Iss 3, Pp 231-241 (2019)
Druh dokumentu: article
ISSN: 2666-223X
1674-862X
DOI: 10.11989/JEST.1674-862X.71018117
Popis: A mobile medical information system (MMIS) is an integrated application (app) of traditional hospital information systems (HIS) which comprise a picture archiving and communications system (PACS), laboratory information system (LIS), pharmaceutical management information system (PMIS), radiology information system (RIS), and nursing information system (NIS). A dynamic resource allocation table is critical for optimizing the performance to the mobile system, including the doctors, nurses, or other relevant health workers. We have designed a smart dynamic resource allocation model by using the C4.5 algorithm and cumulative distribution for optimizing the weight of resource allocated for the five major attributes in a cooperation communications system. Weka is used in this study. The class of concept is the performance of the app, optimal or suboptimal. Three generations of optimization of the weight in accordance with the optimizing rate are shown.
Databáze: Directory of Open Access Journals