Towards identifying drug side effects from social media using active learning and crowd sourcing

2019 ◽  
Author(s):  
Sophie Burkhardt ◽  
Julia Siekiera ◽  
Josua Glodde ◽  
Miguel A. Andrade-Navarro ◽  
Stefan Kramer
2021 ◽  
Vol 1 (2) ◽  
pp. 149-153
Author(s):  
Inayatush Sholihah ◽  
Joko Santoso

The lack of public understanding and awareness about safe drug information and misleading social media news related to drug use is a new challenge that cannot be underestimated. The purpose of this community service was to overcome the problem of the lack of public knowledge about side effects, especially as an effort to implement pharmacovigilance in the community. The method started from intervention to the community included providing education (socialization) on the dangers of drug side effects and workshops on the use of the method of measuring drug side effects using the Naranjo algorithm. The target of this activity was the residents of the Mertoudan, Mojosongo, Surakarta would get additional knowledge about drug side effects and know how to monitor it, also creating people who are aware of drug side effects. This activity increased the knowledge of residents about drug side effects and the ability to measure the probability of the occurrence of drug side effects. The implementation of this activity received a good response from the Chairperson of Dasa Wisma and the participants, who were very enthusiastic to increase their knowledge about drug side effects and the measurement method with the Naranjo algorithm.


2020 ◽  
Vol 66 (8) ◽  
pp. 3677-3698
Author(s):  
Luis Diestre ◽  
Benjamin Barber ◽  
Juan Santaló

Safety alerts are announcements made by health regulators warning patients and doctors about new drug-related side effects. However, not all safety alerts are equally effective. We provide evidence that the day of the week on which the safety alerts are announced explains differences in safety alert impact. Specifically, we show that safety alerts announced on Fridays are less broadly diffused: they are shared 34% less on social media, mentioned in 23% to 66% fewer news articles, and are 12% to 51% less likely to receive any news coverage at all. As a consequence of this, we propose Friday alerts are less effective in reducing drug-related side effects. We find that moving a Friday alert to any other weekday would reduce all drug-related side effects by 9% to 12%, serious drug-related complications by 6% to 15%, and drug-related deaths by 22% to 36%. This problem is particularly important because Friday was the most frequent weekday for safety alert announcements from 1999 to 2016. We show that this greater prevalence of Friday alerts might not be random: firms that lobbied the U.S. Food and Drug Administration in the past are 49% to 56% more likely to have safety alerts announced on Fridays. This paper was accepted by Stefan Scholtes, healthcare management.


2020 ◽  
Vol 26 (26) ◽  
pp. 3096-3104 ◽  
Author(s):  
Shuai Deng ◽  
Yige Sun ◽  
Tianyi Zhao ◽  
Yang Hu ◽  
Tianyi Zang

Drug side effects have become an important indicator for evaluating the safety of drugs. There are two main factors in the frequent occurrence of drug safety problems; on the one hand, the clinical understanding of drug side effects is insufficient, leading to frequent adverse drug reactions, while on the other hand, due to the long-term period and complexity of clinical trials, side effects of approved drugs on the market cannot be reported in a timely manner. Therefore, many researchers have focused on developing methods to identify drug side effects. In this review, we summarize the methods of identifying drug side effects and common databases in this field. We classified methods of identifying side effects into four categories: biological experimental, machine learning, text mining and network methods. We point out the key points of each kind of method. In addition, we also explain the advantages and disadvantages of each method. Finally, we propose future research directions.


Author(s):  
Silvia Francesca Maria Pizzoli ◽  
Dario Monzani ◽  
Laura Vergani ◽  
Virginia Sanchini ◽  
Ketti Mazzocco

AbstractIn recent years, virtual reality (VR) has been effectively employed in several settings, ranging from health care needs to leisure and gaming activities. A new application of virtual stimuli appeared in social media: in the documentary ‘I met you’ from the South-Korean Munhwa Broadcasting, a mother made the experience of interacting with the avatar of the seven-year-old daughter, who died four years before. We think that this new application of virtual stimuli should open a debate on its possible implications: it represents contents related to grief, a dramatic and yet natural experience, that can have deep psychological impacts on fragile subjects put in virtual environments. In the present work, possible side-effects, as well as hypothetical therapeutical application of VR for the treatment of mourning, are discussed.


2006 ◽  
Vol 120 (2) ◽  
pp. 1-10 ◽  
Author(s):  
C A Lee ◽  
D Mistry ◽  
R Sharma ◽  
A P Coatesworth

Following a previous paper in which we documented the otological side effects of drug therapy, we here review other drug side effects that ENT surgeons may encounter when dealing with patients. Although otological drug side effects such as hearing loss and tinnitus are well recognized there are many rhinological, laryngeal, oropharyngeal and other head and neck drug side effects. Our data were sourced from the British National Formulary and Electronic Medical Compendium websites.


2015 ◽  
Vol 6 (4) ◽  
pp. 30-38
Author(s):  
SOBIROV BAKHTISHODOVICH BOBUR ◽  
KHAMIDOV OBIDJON ◽  
OLIM MAMAYUNUSOVICH PARDAEV ◽  
RAMOS RAMOS SERGIO ◽  
SOLIEV BOBIRSHOYEVICH MUKHAMMADKHON ◽  
...  

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