About this document
Drug Demand Forecasting For Pharmacies With Machine Learning Algorithms by Sharna Sarker is a document available to read on EtoBox.
The study investigates drug demand forecasting for pharmacies using machine learning algorithms, analyzing five years of sales data from a Turkish pharmacy. Various algorithms, including Linear Regression, Gaussian Processes, and Random Forest, were applied to predict future sales, with the Gaussian Processes algorithm yielding the best accuracy in forecasts. The research emphasizes the importance of accurate demand predictions for effective inventory and order management in the pharmaceutical sector.
- Author
- Sharna Sarker
- Language
- EN