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.

Poverty as an Abuse of Human Rights in Ghana. : A grass roots perspective on poverty and human rights.

The study aimed at getting a grass root opinion on poverty and why Ghana is still poor after 50 years of independence in spite of her richness in natural resources, second largest producer of cocoa in the word and appreciable stable political environment. The opinions of the ordinary people in the Bia district and their observed living conditions was analysed in line with theoretical basis of the study and previous studies to justify the stance that poverty should be considered as an abuse of human rights. It was concluded based on position of informants and previous data available that though many factors have been raised by previous scholars as the cause of poverty, the actions and inactions of both internal and external power-holders is the main source of poverty in Ghana. It was proposed that for poverty to be reduced in a sustainable way there should be strong civil society groups and active citizens through civic education to hold power-holders accountable. Until the actions and inactions of power-holders which have subjected many Ghanaians into intergenerational poverty are seen as human rights abuse, the rights of many Ghanaians would be constantly abused. This will eventually defeat the promotion of human rights culture in Ghana.

The cause of conflict in Burundi

The cause of the conflict in Burundi is not only that of ethnicity but also poverty.

Identification of cause of impairment in spiral drawings, using non-stationary feature extraction approach

Parkinson’s disease is a clinical syndrome manifesting with slowness and instability. As it is a progressive disease with varying symptoms, repeated assessments are necessary to determine the outcome of treatment changes in the patient. In the recent past, a computer-based method was developed to rate impairment in spiral drawings. The downside of this method is that it cannot separate the bradykinetic and dyskinetic spiral drawings. This work intends to construct the computer method which can overcome this weakness by using the Hilbert-Huang Transform (HHT) of tangential velocity. The work is done under supervised learning, so a target class is used which is acquired from a neurologist using a web interface. After reducing the dimension of HHT features by using PCA, classification is performed. C4.5 classifier is used to perform the classification. Results of the classification are close to random guessing which shows that the computer method is unsuccessful in assessing the cause of drawing impairment in spirals when evaluated against human ratings. One promising reason is that there is no difference between the two classes of spiral drawings. Displaying patients self ratings along with the spirals in the web application is another possible reason for this, as the neurologist may have relied too much on this in his own ratings.