Echocardiogram-UCI
health issues and survival rate
@kaggle.loganalive_echocardiogram_uci
health issues and survival rate
@kaggle.loganalive_echocardiogram_uci
All the patients suffered heart attacks at some point in the past. Some are still alive and some are not. The survival and still-alive variables, when taken together, indicate whether a patient survived for at least one year following the heart attack.
This dataset consists of 132 instances of patients for 12 variables describing the patient's heart attack and condition.
Dataset Link: https://archive.ics.uci.edu/ml/datasets/echocardiogram
Banner Photo by rawpixel.com on Unsplash
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 most difficult part of this problem is correctly predicting that the patient will NOT survive. (Part of the difficulty seems to be the size of the data set.)
CREATE TABLE echocardiogram (
"survival" DOUBLE,
"alive" DOUBLE,
"age" DOUBLE,
"pericardialeffusion" DOUBLE,
"fractionalshortening" DOUBLE,
"epss" DOUBLE,
"lvdd" DOUBLE,
"wallmotion_score" DOUBLE,
"wallmotion_index" DOUBLE,
"mult" DOUBLE,
"name" VARCHAR,
"group" VARCHAR,
"aliveat1" DOUBLE
);Anyone who has the link will be able to view this.