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 age albumin alkaline phosphatise (ALP) asbestos exposure blood lactic dehydrogenise (LDH) C-reactive protein (CRP) cell count (WBC) city cytology dead or not diagnosis method duration of asbestos exposure duration of symptoms dyspnoea gender glucose habit of cigarette hemoglobin (HGB) keep side performance status platelet count (PLT) pleural albumin pleural effusion pleural glucose pleural lactic dehydrogenise pleural level of acidity (pH) pleural protein pleural thickness on tomography sedimentation total protein type of MM weakness white blood
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.