python codes to predict patients’ non-attendance for their appointments at the clinic
This project consists of the data set and python codes.
This project aims to predict patients’ non-attendance for their appointments at the clinic. Patient attendance prediction will help to avoid the problems caused by patients’ non-attendance to their appointment for example delayed medical care and affected the financial status of the business. In health industry, it is important to schedule patients’ appointments in order to ensure smooth and manageable medical cases. However, schedules are not followed by some patients and they do not come for their appointments. A dataset on hospital appointment fulfillment is extracted from Kaggle. It consists of 110527 samples with 14 variables.
