An Integrated System for Online Pharmacy Drug Product Matching

1-Page Abstract Presentation for IEEE BHI-BSN 2021

Date: 12/07/2021

Presenting Author:

Chenxi Dong

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Authors list:

Chenxi Dong, Junchang Zhang, Dalue Lin, Qingpeng Zhang, Zhichao Yan, Yuechun Yu, Cao Kang and Bin Hu*

Objectives and Datasets

• 29792 Drug product from two different data sources
• Binary label (1=same product, 0=different product)
• Aim:
• matching the same drug (label prediction)
• Correct the abnormal approval number
• Naive Bayes
• Result:
• 98.3% drug matching accuracy
• 97% approval number correction accuracy
• NB Model Performance

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System Design Overview

Fig 1. The main function of our system

Fig 2. The structure of connected System B and C

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Fig 3. System B: Drug matching system flow chart

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98.3% drug matching accuracy

97% approval number correction accuracy

END