2 resultados para CONVERGENT BASIS-SETS

em Research Open Access Repository of the University of East London.


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The paper describes the use of radial basis function neural networks with Gaussian basis functions to classify incomplete feature vectors. The method uses the fact that any marginal distribution of a Gaussian distribution can be determined from the mean vector and covariance matrix of the joint distribution.

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Aims: To determine whether older people are prescribed antidepressants at lower levels of depression and with fewer symptoms, and whether they are more likely to engage in chronic usage. Methods: An online survey about experiences with, and opinions about, depression and antidepressants, was completed by 1,825 New Zealand adults who had been prescribed antidepressants in the preceding five years. Results: Participants over 55 were prescribed antidepressants with significantly fewer symptoms and were significantly less likely to meet DSM criteria for depression. They were also significantly more likely to have used the drugs for three years and still be using them. Conclusions: Prescribing physicians and their older patients might benefit from discussing the pros and cons of antidepressants (including the additional risk factors with this age group) and the alternatives; and, if prescription does occur, careful monitoring to avoid unnecessary, potentially damaging, long-term use is recommended.