Simultaneous prediction of symptom severity and cause in data from a test battery for Parkinson patients, using machine learning methods

The main purpose of this thesis project is to prediction of symptom severity and cause in data from test battery of the Parkinson’s disease patient, which is based on data mining. The collection of the data is from test battery on a hand in computer. We use the Chi-Square method and check which variables are important and which are not important. Then we apply different data mining techniques on our normalize data and check which technique or method gives good results.The implementation of this thesis is in WEKA. We normalize our data and then apply different methods on this data. The methods which we used are Naïve Bayes, CART and KNN. We draw the Bland Altman and Spearman’s Correlation for checking the final results and prediction of data. The Bland Altman tells how the percentage of our confident level in this data is correct and Spearman’s Correlation tells us our relationship is strong. On the basis of results and analysis we see all three methods give nearly same results. But if we see our CART (J48 Decision Tree) it gives good result of under predicted and over predicted values that’s lies between -2 to +2. The correlation between the Actual and Predicted values is 0,794in CART. Cause gives the better percentage classification result then disability because it can use two classes.

Difficulties for Vietnamese when pronouncing English : Final Consonants

Vietnamese people have many difficulties when pronouncing English. Among those, this paper will firstly deal with the hypothesis “English word-final consonants are not pronounced in a native-like way by Vietnamese speakers”. Theoretical phonological research about final consonants in the Vietnamese language and English has been carried out to characterize the difficulties. Data from Vietnamese informants were collected and analyzed, then synthesized to the most significant problems. Vietnamese effort to pronounce English word-final consonants will be towards omitting, adding schwa or replacing by sounds closer to those existing in their mother-tongue. Results of native speakers’ evaluation of Vietnamese-accented final consonants are also concluded to clarify how comprehensible informants’ pronunciation is. These findings will hopefully be useful for those who are interested in the topic and for further research.