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Investigation on 110,526 medical appointments and its 14 associated variables (characteristics). The most important attribute is the last, if the patient show-up or no-show to the appointment. What is the use of this?

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MohdFarag/Investigate-Medical-Appointment-Dataset

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Investigate Medical Appointment Dataset

110,526 medical appointments its 14 associated characteristics. The most important one if the patient show-up or no-show to the appointment.

What if that possible to predict someone to no-show an appointment ?


Question 1: What factors are important to predict if a patient will show up for their scheduled appointment?

Question 2: What factors are important to know what makes people make an appointment?


Conclusions

1- 20% of people does not attend their appointments, which indicates the extent and impact of this problem.


2- Older people are less likely to show up for appointments, maybe because they're dead?


3- People miss their appointments more than usual in April. In June and July, people attend more than usual.


4- Reserving the appointment on the same day has a good effect on attending the appointment.


5- Females books more appointments than males.


6- Young people are the most booked for appointments.


7- The less Five neighborhoods whose residents book for an appointment:

1- FRADINHOS 2- NAZARETH 3- AEROPORTO 4- ILHAS OCEÂNICAS DE TRINDADE 5- PARQUE INDUSTRIAL


By : Mohamed Ahmed Abdullah Mahmoud

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Investigation on 110,526 medical appointments and its 14 associated variables (characteristics). The most important attribute is the last, if the patient show-up or no-show to the appointment. What is the use of this?

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