Dilemmas of Prediction Market, Cox Hazard Proportion and Artificial Neural Network Models in Medical Forecasting : Evidence from Chinese Antecedents

Authors(6) :-Henry Asante Antwi, Zhou Lulin , Mary Opokua Ansong, Patrick Acheampong, Tehzeeb Mustafa, Zinet Abdullai

The conventional technique for forecasting patient survivability is the Cox hazard proportion model, but absolute reliance on this statistical method has its limitations. The emergence of artificial neural networks and prediction markets as swarm intelligence tools has significantly improved medical forecasting in many fronts. Till date the main clinical use of artificial neural networks and prediction markets includes diagnosis, prognosis, disease severity testing and scoring, and measuring the spread of diseases and many other areas of applications yet not many studies have emerged from Jiangsu Province in China. We modeled and compared the historical records and doctor’s evaluation summary of a cohort of 150 patients diagnosed and operated on gastric cancer in general practice using an enhanced prediction market, Cox hazard proportion and artificial neural network. We conclude that prediction market techniques can complement artificial neural networks and Cox hazard regression models in prognosis

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
Patrick Acheampong
School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, P.R. China
Tehzeeb Mustafa
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
Zinet Abdullai
School of Management, Jiangsu University, 301 Xuefu Road, Zhenjiang, Jiangsu, P.R. China

Cox Hazard, Neural Networks, Prognosis, Clinical Judgment, China

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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) : 119-127
Manuscript Number : CSEIT172117
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Henry Asante Antwi, Zhou Lulin , Mary Opokua Ansong, Patrick Acheampong, Tehzeeb Mustafa, Zinet Abdullai, "Dilemmas of Prediction Market, Cox Hazard Proportion and Artificial Neural Network Models in Medical Forecasting : Evidence from Chinese Antecedents", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 1, pp.119-127, January-February.2017
URL : http://ijsrcseit.com/CSEIT172117

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