| Autor: |
Nafea, Ahmed A., AL-Mahdawi, Manar, AL-Ani, Mohammed M, Omar, Nazlia |
| Předmět: |
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| Zdroj: |
ARO: The Scientific Journal of Koya University; 2024, Vol. 12 Issue 1, p143-153, 11p |
| Abstrakt: |
The detection of adverse drug reactions (ADRs) is an important piece of information for determining a patient’s view of a single drug. This study attempts to consider and discuss this feature of drug reviews in medical opinion-mining systems. This paper discusses the literature that summarizes the background of this work. To achieve this aim, the first discusses a survey on detecting ADRs and side effects, followed by an examination of biomedical text mining that focuses on identifying the specific relationships involving ADRs. Finally, we will provide a general overview of sentiment analysis, particularly from a medical perspective. This study presents a survey on ADRs extracted from drug review sentences on social media, utilizing and comparing different techniques. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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