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