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Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

Prediction of Sepsis in the Intensive Care Unit With Minimal Electronic Health Record Data: A Machine Learning Approach

Singer et al [3] define “septic shock” as a classification of sepsis “in which underlying circulatory and cellular metabolism abnormalities are profound enough to substantially increase mortality,” and suggest identifying such patients by a serum lactate measurement

Thomas Desautels, Jacob Calvert, Jana Hoffman, Melissa Jay, Yaniv Kerem, Lisa Shieh, David Shimabukuro, Uli Chettipally, Mitchell D Feldman, Chris Barton, David J Wales, Ritankar Das

JMIR Med Inform 2016;4(3):e28


Is There a Weekly Pattern for Health Searches on Wikipedia and Is the Pattern Unique to Health Topics?

Is There a Weekly Pattern for Health Searches on Wikipedia and Is the Pattern Unique to Health Topics?

See Table 1 and Figure 2.Barcelona footballer Lionel Messi had the highest mean number of hits on Tuesdays and Wednesdays (227.7, 95% CI 204.5-250.9 and 228.1, 95% CI 203.4-252.9, respectively), whereas celebrity pop singer Justin Bieber had the most hits on

Elia Gabarron, Annie YS Lau, Rolf Wynn

J Med Internet Res 2015;17(12):e286


Poverty, Human Development, and the Role of eHealth

Poverty, Human Development, and the Role of eHealth

As facilitators, the role of social networks should be explored further.Finally, the paper by Hassan Masum and Peter Singer on visual dashboards [4] reminds us that information and communication technology can also help in policy priority setting, not only

Gunther Eysenbach MD MPH

J Med Internet Res 2007;9(4):e34


Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review

Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review

Participants listen and find correct items on the screen.Super Singer: respelling task to train attention, memory, language, visuospatial function, and executive function.

Laura Vergani, Giulia Marton, Silvia Francesca Maria Pizzoli, Dario Monzani, Ketti Mazzocco, Gabriella Pravettoni

JMIR Mhealth Uhealth 2019;7(3):e10855