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Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data

Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data

In this study, the following 6 Finnish search queries related to depression were monitored “Masennus” (Eng. depression), “Masennus oireet” (Eng. depression symptoms), “Masennustesti” (Eng. depression test), “Masennus testi” (Eng. depression test), “Depression

Jonas Christoffer Tana, Jyrki Kettunen, Emil Eirola, Heikki Paakkonen

JMIR Ment Health 2018;5(2):e43

Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study

Deep Neural Network for Reducing the Screening Workload in Systematic Reviews for Clinical Guidelines: Algorithm Validation Study

standard deviation of the AUROC decreased with each prioritization step (Figure 4).Figure 3Average cumulative recall curves for all data sets: (a) Chatterjee et al [27], (b) Balsells et al [28], (c) Muduliar et al [29], (d) Yanovski and Yanovski [30], (e) Eng

Tomohide Yamada, Daisuke Yoneoka, Yuta Hiraike, Kimihiro Hino, Hiroyoshi Toyoshiba, Akira Shishido, Hisashi Noma, Nobuhiro Shojima, Toshimasa Yamauchi

J Med Internet Res 2020;22(12):e22422

A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies

A Holistic Framework to Improve the Uptake and Impact of eHealth Technologies

Eng et al [51] (fr. 14) refer to the statement of the Science Panel on Interactive Communication and Health, namely that four stakeholder groups should participate in order to improve the quality of eHealth technologies: consumers (patients, families, and caregivers

Julia EWC van Gemert-Pijnen, Nicol Nijland, Maarten van Limburg, Hans C Ossebaard, Saskia M Kelders, Gunther Eysenbach, Erwin R Seydel

J Med Internet Res 2011;13(4):e111

Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older

Mobile Applications for Diabetics: A Systematic Review and Expert-Based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older

relatively unknown developers could have difficulties being listed among the first results.At the same time, many apps offered similar functionalities, mostly a documentation function, which is consistent with earlier findings of Martínez-Pérez et al [3], Eng

Madlen Arnhold, Mandy Quade, Wilhelm Kirch

J Med Internet Res 2014;16(4):e104