Violence in Roman Egypt [elektronicky zdroj] : a study in legal interpretation / Ari Z. Bryen.

Autor: Bryen, Ari Z.

Externí odkaz: Kolekce e-knih KNAV

Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review

Autor: Karen O'Connor, Su Golder, Davy Weissenbacher, Ari Z Klein, Arjun Magge, Graciela Gonzalez-Hernandez

Publikováno v: Journal of Medical Internet Research, Vol 26, p e47923 (2024)

BackgroundPatient health data collected from a variety of nontraditional resources, commonly referred to as real-world data, can be a key information source for health and social science research. Social media platforms, such as Twitter (Twitter, Inc

Externí odkaz: https://doaj.org/article/54be9b657ffc4072b081103097149cd5

Adjusted estimate of the prevalence of hepatitis delta virus in 25 countries and territories

Autor: Razavi-Shearer, D., Child, H., Razavi-Shearer, K., Voeller, A., Razavi, H., Buti, M., Tacke, F., Terrault, N., Zeuzem, S., Abbas, Z., Aghemo, A., Akarca, U.S., Al Masri, N., Alalwan, A., Blomé, M. Alanko, Jerkeman, A., Aleman, S., Kamal, H., Alghamdi, A., Alghamdi, M., Alghamdi, S., Al-Hamoudi, W., Ali, E., Aljumah, A., Altraif, I., Amarsanaa, J., Asselah, T., Baatarkhuu, O., Babameto, A., Ben-Ari, Z., Berg, T., Biondi, M., Braga, W., Brandão-Mello, C., Brown, R., Brunetto, M., Cabezas, J., Cardoso, M., Martins, A., Chan, H.L.Y., Cheinquer, H., Chen, C.-J., Yang, H.-I., Chen, P.-J., Chien, C.-H., Chuang, W.-L., Garza, L. Cisneros, Coco, B., Coffin, C., Coppola, N., Cornberg, M., Craxi, A., Crespo, J., Cuko, L., De Ledinghen, V., Duberg, A.-S., Etzion, O., Ferraz, M.L., Ferreira, P., Forns, X., Foster, G., Fung, J., Gaeta, G., García-Samaniego, J., Genov, J., Gheorghe, L., Gholam, P., Gish, R., Glenn, J., Hamid, S., Hercun, J., Hsu, Y.-C., Hu, C.-C., Huang, J.-F., Idilman, R., Jafri, W., Janjua, N., Jelev, D., Jia, J., Kåberg, M., Kaita, K., Kao, J.-H., Khan, A., Kim, D.Y., Kondili, L., Lagging, M., Lampertico, P., Lázaro, P., Lazarus, J.V., Lee, M.-H., Lim, Y.-S., Lobato, C., Macedo, G., Marinho, R., Marotta, P., Mendes-Correa, M.C., Méndez-Sánchez, N., Navas, M.-C., Ning, Q., Örmeci, N., Orrego, M., Osiowy, C., Pan, C., Pessoa, M., Piracha, Z., Pop, C., Qureshi, H., Raimondo, G., Ramji, A., Ribeiro, S., Ríos-Hincapié, C., Rodríguez, M., Rosenberg, W., Roulot, D., Ryder, S., Saeed, U., Safadi, R., Shouval, D., Sanai, F., Sanchez-Avila, J.F., Santantonio, T., Sarrazin, C., Seto, W.-K., Simonova, M., Tanaka, J., Tergast, T., Tsendsuren, O., Valente, C., Villalobos-Salcedo, J.M., Waheed, Y., Wong, G., Wong, V., Yip, T., Wu, J.-C., Yu, M.-L., Yuen, M.-F., Yurdaydin, C., Zuckerman, E.

Publikováno v: In Journal of Hepatology February 2024 80(2):232-242

Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes

Autor: Klein, Ari Z., Gebreyesus, Abeselom, Gonzalez-Hernandez, Graciela

Despite the prevalence of adverse pregnancy outcomes such as miscarriage, stillbirth, birth defects, and preterm birth, their causes are largely unknown. We seek to advance the use of social media for observational studies of pregnancy outcomes by de

Externí odkaz: http://arxiv.org/abs/1908.06015

Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research

Autor: Klein, Ari Z., Sarker, Abeed, Weissenbacher, Davy, Gonzalez-Hernandez, Graciela

Publikováno v: npj Digital Medicine. 2019;2:96

In recent work, we identified and studied a small cohort of Twitter users whose pregnancies with birth defect outcomes could be observed via their publicly available tweets. Exploiting social media's large-scale potential to complement the limited me

Externí odkaz: http://arxiv.org/abs/1810.09506