Data Set Information: The dataset is Electronic Health Record Predicting collected from a private Hospital in Indonesia. It contains the patients laboratory test results used to determine next patient treatment whether in care or out care patient. The task embedded to the dataset is classification prediction. Attribute Information: Given is the attribute name, attribute type, the measurement unit and a brief description. The number of rings is the value to predict: either as a continuous value or as a classification problem.

HAEMATOCRIT /Continuous /35.1 / Patient laboratory test result of haematocrit HAEMOGLOBINS/Continuous/11.8 / Patient laboratory test result of haemoglobins ERYTHROCYTE/Continuous/4.65 / Patient laboratory test result of erythrocyte LEUCOCYTE /Continuous /6.3 / Patient laboratory test result of leucocyte THROMBOCYTE/Continuous/310/ Patient laboratory test result of thrombocyte MCH/Continuous /25.4/ Patient laboratory test result of MCH MCHC/Continuous/33.6/ Patient laboratory test result of MCHC MCV/Continuous /75.5/ Patient laboratory test result of MCV AGE/Continuous/12/ Patient age SEX/Nominal – Binary/F/ Patient gender SOURCE/Nominal/ {in,out}/The class target in.= in care patient, out = out care patient