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Francesco Branda and Davide Tosi
The rapid development of effective vaccines against COVID-19 is an extraordinary achievement. However, no medical product can ever be considered risk-free. Several countries have a pharmacovigilance system that detects, assesses, understands, and prevent...
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Enayat Rajabi and Somayeh Kafaie
Building trust and transparency in healthcare can be achieved using eXplainable Artificial Intelligence (XAI), as it facilitates the decision-making process for healthcare professionals. Knowledge graphs can be used in XAI for explainability by structuri...
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Alexander Sboev, Roman Rybka, Artem Gryaznov, Ivan Moloshnikov, Sanna Sboeva, Gleb Rylkov and Anton Selivanov
Mapping the pharmaceutically significant entities on natural language to standardized terms/concepts is a key task in the development of the systems for pharmacovigilance, marketing, and using drugs out of the application scope. This work estimates the a...
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Min Zhang and Guohua Geng
Social media and health-related forums, including the expression of customer reviews, have recently provided data sources for adverse drug reaction (ADR) identification research. However, in the existing methods, the neglect of noise data and the need fo...
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Anna K Jönsson, Henrik Lövborg, Wolfgang Lohr, Bertil Ekman and Joacim Rocklöv
Purpose: To investigate the relationship between outdoor temperature in Sweden and the reporting of drug-induced hyponatremia to the Medical Products Agency (MPA). Methods: All individual adverse drug reactions (ADR) reported to MPA from 1 January 2010 t...
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Hong-Jie Dai, Musa Touray, Jitendra Jonnagaddala and Shabbir Syed-Abdul
Social media platforms are emerging digital communication channels that provide an easy way for common people to share their health and medication experiences online. With more people discussing their health information online publicly, social media plat...
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