Prediction of Readmittance of Diabetic Patients
Industry
Healthcare
Skills
- Python
- SQL
Algorithms
- k-Nearest Neighbors (k-NN)
- Random Forest Classification
- Decision Tree
- Support Vector Machine (SVM)
Introduction
In this project, we are interested in finding out the early readmission, the dataset consists of a column named ‘readmitted’ that determines the duration after which the patient was admitted to the hospital. There are 3 parameters to this column, ‘No’ readmit stands for no patient was admitted again after the discharge and the other two are show the number readmits based on before 30 days or after 30 days of discharge. The 30 days is set as per the bill cycle used by funding agency. The medication measure named Haemoglobin A1c (HbA1C) is an important measure of glucose control which is used to measure the performance diabetes care. The HbA1C helps to assess the efficiency of on-going therapy and make amendments in the theory if HbA1c > 8 and if it is in between the range 8>HbA1C>7 then the result is normal.