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The effects of treatment with antidepressant drugs evaluated through the analysis of patients’ tweets

Scientists from the Integrative Biomedical Informatics research group have identified behavioural and linguistic changes in tweets in Spanish published by users suffering from depression and who are taking medication to treat this disease.

Their work has been published in Journal of Medical Internet Research and was led by Ferran Sanz; with Angela Leis and Francesco Ronzano as first authors, who conducted the work together with Miguel Angel Mayer and Laura I Furlong, all from the Integrative Biomedical Informatics research group.

Depression is one of the most widespread mental illnesses. According to the World Health Organization, it affects more than 322 million people of all ages and is one of the leading causes of disability worldwide.

Reference article: Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study. J Med Internet Res. 2020 Dec. doi: 10.2196/20920.

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Angela Leis

Thesis defence of Angela Leis: "Studying Depression through Big Data Analytics on Twitter"

Next Thursday, 18th of March at 10:30, Angela Leis, member of the Integrative Biomedical Informatics group of GRIB will read her thesis "Studying Depression through Big Data Analytics on Twitter". 

The event will be online. Free access at: https://eu.bbcollab.com/guest/6142d06f38ad4724bcae539b8479d90a

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iDATA-MP es el Programa de Ciencia de Datos de la Infraestructura de Medicina de Precisión asociada a la Ciencia y la Tecnología (IMPaCT), en el que participan 47 instituciones de todas las comunidades, con institutos de investigación sanitaria, empresas, universidades o centros de investigación. Este proyecto está financiado por el Instituto de Salud Carlos III para el periodo 2021 a 2023.

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