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Healthcare

Nabd

Predicting patient no-shows to rebook appointments

  • Scikit-learn
  • Pandas
  • Streamlit
Status
Idea
Year
2,026
votes
121

The problem it solves

Missed appointments cost clinics time and capacity, and delay other patients on waiting lists.

The solution

A model estimates the no-show probability for each appointment from historical and behavioural factors, letting the clinic apply calculated overbooking or intensified reminders.

Impact

In the validation stage with two clinics, with encouraging early results on historical data.

The team

Maram Alshehri

Founder & CTO — Wasfa

A former pharmacist turned technology founder. She builds systems that reduce dispensing errors, and believes the best technical solution comes from whoever lived the problem.

  • PyTorch
  • OCR
  • Computer Vision
  • FastAPI
Graduation year 2,025LinkedIn

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