Although heart sounds can enable cost effective screening for pathological conditions the internal medical and cardiac training programs underestimate the value of cardiac auscultation and younger clinicians are not adequately trained in this area. This is nothing less than appealing in the kitchen and an elegant and focused therapy in which the interventions are initiated individually and the clinician can clearly evaluate the effectiveness and minimize the associated therapeutic risk. The approach supports a wide range of alternative scenarios makes all assumptions easy to understand and provides significant benefits in many areas of medical decision making. Based on history and investigation recurring ischemia a sense of COPD or other PE is possible. In addition this may constitute a new congestive heart failure CHF that may be associated with ongoing heart disease chemistry. Therefore it is concluded that decision trees when properly trained provide high and consistent classification accuracy with regard to the distinction between AS and MR using auscultation results.In a direct comparison between neural networks and logistic regression models Tu and colleagues concluded that neural networks are better suited for predicting results but the logistic regression is used in the search for possible causal relationships between independent and dependent variables or in attempting to reduce the effect of Understanding predictor variables is preferable to a result. The transparency of our decision tree is valuable because the proposed diagnosis is accompanied by a likelihood that can help doctors diagnose and treat their individual patients. Circles in the second column hidden layer represent the weighted or numeric significance of the assigned Neighbor Network Program of each piece of data entered into the input layer. Following the arrows indicated by the answers to each of the questions in the boxes clinicians are targeting the expected outcome for the patient. Each non-leaf tree of the tree forms a split point based on a test on one of attributes s that determines how the data is shared shared .