Medical appointments No-Show classifier

Related tags

Miscellaneous machine-learning pipelines data-visualization hyperparameter-optimization data-analysis feature-engineering classification-algorithm
Overview

Medical Appointments No-shows

Why do 20% of patients miss their scheduled appointments?

A person makes a doctor appointment, receives all the instructions and doesn't show up.

Is it feasible to predict this behaviour?

For a better view of the notebook: https://nbviewer.org/github/bergerache/Appointment_NoShow/blob/main/Appointment_NoShow.ipynb

The data contains 110,527 medical appointments with 14 features:

  • Patient ID
  • Appointment ID
  • Gender- Patient Gender
  • ScheduledDay- day appointment was scheduled
  • AppointmentDay- day of appointment
  • Age- Patient age
  • Neighbourhood- appointment location
  • Scholarship- is the patient part of the 'Bolsa Família' welfair plan (https://en.wikipedia.org/wiki/Bolsa_Fam%C3%ADlia)
  • Hypertension- does the patient suffer from Hypertension (1/ 0)
  • Diabetes- does the patient suffer from Diabetes (1/ 0)
  • Alcoholism- does the patient suffer from Alcoholism (1/ 0)
  • Handicap- is the patient a Handicap (1/ 0)
  • SMS_received- did the patient receive at least one sms message (1/ 0)
  • No-show- did the patient keep their appointment (1/ 0)
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