Marc Sebban and Richard Nock and Stéphane Lallich. Short and long term predictive value of wall motion score in acute myocardial infarction. Kan, G., Visser, C., Kooler, J., & Dunning, A. Harvard University, Center for Research in Computing Technology, Aiken Computation Laboratory (33 Oxford Street Cambridge, MA 02138). Exemplar-based learning: Theory and implementation (Technical Report TR-10-88).
0 means patient was either dead after 1 year or had been followed for less than 1 year. name - the name of the patient (I have replaced them with "name")ġ3. mult - a derivate var which can be ignoredġ1. Use this variable INSTEAD of the wall motion score.ġ0. Usually 12-13 segments are seen in an echocardiogram. wall-motion-index - equals wall-motion-score divided by number of segments seen. wall-motion-score - a measure of how the segments of the left ventricle are movingĩ. This is a measure of the size of the heart at end-diastole. lvdd - left ventricular end-diastolic dimension. Larger numbers are increasingly abnormal.ħ. epss - E-point septal separation, another measure of contractility. fractional-shortening - a measure of contracility around the heart lower numbers are increasingly abnormalĦ. Pericardial effusion is fluid around the heart. age-at-heart-attack - age in years when heart attack occurredĤ. 0=dead at end of survival period, 1 means still aliveģ. Such patients cannot be used for the prediction task mentioned above.Ģ. Check the second variable to confirm this. Because all the patients had their heart attacks at different times, it is possible that some patients have survived less than one year but they are still alive. survival - the number of months patient survived (has survived, if patient is still alive). (Part of the difficulty seems to be the size of the data set.)ġ. The most difficult part of this problem is correctly predicting that the patient will NOT survive. The problem addressed by past researchers was to predict from the other variables whether or not the patient will survive at least one year. The survival and still-alive variables, when taken together, indicate whether a patient survived for at least one year following the heart attack. Click here to try out the new site.ĭownload: Data Folder, Data Set DescriptionĪbstract: Data for classifying if patients will survive for at least one year after a heart attackĪll the patients suffered heart attacks at some point in the past. Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns.
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