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ABSTRACT: Background
Medication noncompliance is a critical issue because of the increased number of drugs sold on the web. Web-based drug distribution is difficult to control, causing problems such as drug noncompliance and abuse. The existing medication compliance surveys lack completeness because it is impossible to cover patients who do not go to the hospital or provide accurate information to their doctors, so a social media-based approach is being explored to collect information about drug use. Social media data, which includes information on drug usage by users, can be used to detect drug abuse and medication compliance in patients.Objective
This study aimed to assess how the structural similarity of drugs affects the efficiency of machine learning models for text classificati
SUBMITTER: Nishiyama T
PROVIDER: S-EPMC10193216 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature