Augmenting Product Defect Surveillance Through Web Crawling and Machine Learning in Singapore.

ABSTRACT:

Introduction

Substandard medicines are medicines that fail to meet their quality standards and/or specifications. Substandard medicines can lead to serious safety issues affecting public health. With the increasing number of pharmaceuticals and the complexity of the pharmaceutical manufacturing supply chain, monitoring for substandard medicines via manual environmental scanning can be laborious and time consuming.

Methods

A web crawler was developed to automatically detect and extract alerts on substandard medicines published on the Internet by regulatory agencies. The crawled data were labelled as related to substandard medicines or not. An expert-derived keyword-based classification algorithm was compared against machine learning algorithms to identify substandard medicine

SUBMITTER: Ang PS 

PROVIDER: S-EPMC8214454 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature