Artificial Neural Networks and Crowd Wisdom Theories in Health Planning : A Comparative Analysis from Eastern China

Authors(5) :-Henry Asante Antwi, Zhou Lulin, Mary Opokua Ansong, Basil Kusi, Micheal Owusu Akomeah

Over the year’s hospital management and planning has been shaped by the clinical “anti-guessing” theory of Evidence Based Medicine practiced globally by clinicians. This is because most healthcare facilities are managed by medical officers with significant bias towards exporting their clinical experiences to medical forecasting and decision making for all aspects of healthcare including patient flow, bed allocation, transport scheduling, staff scheduling, supply chain management, menu services. We investigated the extent to which experiences of healthcare professionals can be harnessed and optimized for evidential use as a swarm intelligence  technique. A demand forecasting scenario was modeled based on data collected from healthcare facilities in China. The data was simultaneously modeled using artificial neural networks and prediction market. The prediction market and artificial neural network models were equally competitive with no statistical difference in mean average percentage error. Both of them outperformed the unweighted linear average method. 

Authors and Affiliations

Henry Asante Antwi
School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, P.R. China and Institute of Medical Insurance and Healthcare Management, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
Zhou Lulin
School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, P.R. China and Institute of Medical Insurance and Healthcare Management, Jiangsu University, Zhenjiang, Jiangsu, P.R. China
Mary Opokua Ansong
School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, P.R. China and Department of Computer Science, School of Applied Science, Kumasi Polytechnic, P. O. Box 854, Kumasi, Ghana
Basil Kusi
School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, P.R. China
Micheal Owusu Akomeah
School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, P.R. China

Anti-Guessing, Eviews and JAGS, ANN, AIC, AR

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 128-134
Manuscript Number : CSEIT172118
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Henry Asante Antwi, Zhou Lulin, Mary Opokua Ansong, Basil Kusi, Micheal Owusu Akomeah, "Artificial Neural Networks and Crowd Wisdom Theories in Health Planning : A Comparative Analysis from Eastern China", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 1, pp.128-134 , January-February.2017
URL : http://ijsrcseit.com/CSEIT172118

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