The objective of this article is to describe and compare the use of traditional/complementary medicine (T/CM) among psychotic (schizophrenia and schizophreniform disorder) and epileptic Malay patients in peninsular Malaysia. There were 60 patients in each group. T/CM consultation was uniformly spread across all levels of education and social status. We could not find a single over-riding factor that influenced the decision to seek T/CM treatment because the decision to seek such treatment was complex and the majority of decisions were made by others. Fifty-three patients (44.2%), consisting of 37 (61.7%) psychotic and 16 (26.7%) epileptic patients had consulted Malay traditional healers (bomoh) and/or homeopathic practitioners in addition to modern treatment; of these, only three had consulted bomoh and homeopathic practitioners at the same time. The use of T/CM was significantly higher in psychotic than in epileptic Malay patients.
Combined Support Vector Machine (SVM) and Principal Component Analysis (PCA) was used to recognize the infant cries with asphyxia. SVM classifier based on features selected by the PCA was trained to differentiate between pathological and healthy cries. The PCA was applied to reduce dimensionality of the vectors that serve as inputs to the SVM. The performance of the SVM utilizing linear and RBF kernel was examined. Experimental results showed that SVM with RBF kernel yields good performance. The classification accuracy in classifying infant cry with asphyxia using the SVM-PCA is 95.86%.