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
Related content

Operating company
An AI assistant that reads handwritten medical prescriptions
- PyTorch
- OCR
- FastAPI
Year 2,025412 votes
They were exactly where you are… look where they are now.
Membership is automatic for every graduate who completes a program — no application, no fee.
