My family pharmacy
2- Necessary training on how to use drugs and their side effects.
3- Manage expiration of medications and reduce wastage
4- Creating a database of medication use for scientific research
5- Economic and practical analysis of user data
6- Reduce per financial cost of drug use
7- Provides smart techniques for analyzing and extracting effective data patterns
My family pharmacy app is a powerful tool which it is developed based on a cross-industry standard process for data mining (CRISP-DM) within six steps: problem understanding, image data understanding, data pre-processing, data processing, data post-processing, and development. This app can evaluate and extract valuable knowledge from various types of data, such as image and sound for different medical tasks: diagnosis, treatment, monitoring, and patient management. Also, these data are collected with the aim of helping researchers in different domains.
My family pharmacy app, as a computational process including algorithms at the intersection of machine learning, statistics, and databases, deals with a large volume of drug images. The purpose of my family pharmacy app is to find knowledge from drug images, which is expressed in a comprehensible structure using the proposed machine learning algorithm to determine valuable preterm and classified the drug based on disease.