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.

Existential issues in surgical care : Nurses’ experiences and attitudes in caring for patients with cancer

The overall aim of this thesis was to explore surgical nurses’ experiences of being confronted with patients’ existential issues when caring for patients with cancer, and to examine whether an educational intervention may support nurses in addressing existential needs when caring for patients with cancer. Previously recorded discussions from supervision sessions with eight healthcare professionals were analysed (I), written descriptions of critical incidents were collected from 10 nurses, and interviews with open questions were conducted (II). An educational intervention on existential issues was pilot tested and is presented in Studies III and IV. The intervention was the basis of a pilot study with the purpose of testing whether the whole design of the educational intervention, including measurements instruments, is appropriate. In Study III and IV interviews with 11 nurses were conducted and 42 nurses were included in the quantitative measurements of four questionnaires, which were distributed and collected. Data was analysed using qualitative secondary analysis (I), hermeneutical analysis (II), and mixed methods using qualitative content analysis and statistical analyses (III-IV). Results in all studies show that existential issues are part of caring at surgical wards. However, although the nurses were aware of them, they found it difficult to acknowledge these issues owing to for example insecurity (I-III), a strict medical focus (II) and/or lacking strategies (I-III) for communicating on these issues. Modest results from the pilot study are reported and suggest beneficial influences of a support in communication on existential issues (III). The results indicate that the educational intervention may enhance nurses’ understanding for the patient’s situation (IV), help them deal with own insecurity and powerlessness in communication (III), and increase the value of caring for severely ill and dying patients (III) in addition to reducing work-related stress (IV). An outcome of all the studies in this thesis was that surgical nurses consider it crucial to have time and opportunity to reflect on caring situations together with colleagues. In addition, descriptions in Studies III and IV show the value of relating reflection to a theory or philosophy in order for attitudes to be brought to awareness and for new strategies to be developed.