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Financial Hardship, End-of-Life Health Care Use, and Costs in Patients With Cancer.
Shankaran V +10 more
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Self organizing neural networks for financial diagnosis
Decision Support Systems, 1996Abstract A complete Decision Support System (DSS) for financial diagnosis based on Self Organizing Feature Maps (SOFM) is described. This is a neural network model which, on the basis of the information contained in a multidimensional space — in the case exposed, financial ratios — generates a space of lesser dimensions.
Carlos Serrano-Cinca
exaly +3 more sources
SVM Combined with FCM and PCA for Financial Diagnosis
2008 Fourth International Conference on Natural Computation, 2008Financial diagnosis is an important and widely studied topic in the last three decades. Recently, the support vector machine (SVM) has been applied to the problem of financial diagnosis. Fuzzy c-means clustering (FCM) is among considerable techniques for data reduction. In addition, principal component analysis (PCA) is a powerful technique for feather
Ping Yao
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Automated financial diagnosis: a comparison with other diagnostic domains
Journal of Information Science, 1993Diagnosis is a well known task in the medical and the physical domain. However, in the financial domain it is not so clear what is encompassed by financial diagnosis. In practice, financial analysts and managers often encounter diagnostic tasks that incorporate much financial data.
W. Verkooijen
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(1) Background: This systematic review was conducted to identify cancer patient experiences, and the impact of out-of-pocket costs and financial burden in Australia.
Annie Bygrave +2 more
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