/Patient_Classification

This is a patient classification notebook which uses catboost

Primary LanguageJupyter Notebook

Patient_Classification

This is a patient classification notebook which uses catboost

Context

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. Content

Acknowledgements

Sadikin, Mujiono (2020), “EHR Dataset for Patient Treatment Classification”, Mendeley Data, V1, doi: 10.17632/7kv3rctx7m.1 Inspiration

Classify the patients based on their treatment. patients in care or patients out care.