I'm a bioinformatics guy working on a dataset related to the mesothelioma disease. In this dataset:
- each row represents a patient record
- each column represents a health feature
There are around 200 records of patients and 34 features. Unfortunately, the curators of this dataset did not provide details about the meaning of each row, so now I'm trying to understand them to have a better idea of what we are talking about.
These features-columns are:
ache on chest
alkaline phosphatise (ALP)
blood lactic dehydrogenise (LDH)
C-reactive protein (CRP)
cell count (WBC)
dead or not
duration of asbestos exposure
duration of symptoms
habit of cigarette
platelet count (PLT)
pleural lactic dehydrogenise
pleural level of acidity (pH)
pleural thickness on tomography
type of MM
Among all these features, my machine learning algorithm stated that the most important and significant one is keep side. I have no idea of what "keep side" means in a health context, can anyone help me?
What does "keep side" mean?
EDIT: I forgot to mention that the keep side features has three possible values: 0, 1, 2.