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A Protocol-Driven, Digital Conversational Agent at the Hospital Bedside to Support Nurse Teams and to Mitigate Delirium and Falls Risk

RealMillbrae, CA,United States866 6964victor@care.coachhttp://orcid.org/0000-0001-7493-1981WexlerSharonPhD, RN2DruryLinPhD, RN2WangBrittanyMA11care.coach corporationMillbrae, CAUnited States2Pace UniversityNew York, NYUnited StatesCorresponding Author: Victor Wang

Victor Wang, Sharon Wexler, Lin Drury, Brittany Wang

iproc 2018;4(2):e11883

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Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study

The times series passed into Google Correlate are the national flu time series and the regional flu time series (Brittany region) obtained from the French Sentinelles network (see below).

Canelle Poirier, Audrey Lavenu, Valérie Bertaud, Boris Campillo-Gimenez, Emmanuel Chazard, Marc Cuggia, Guillaume Bouzillé

JMIR Public Health Surveill 2018;4(4):e11361

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Technology-Assisted Self-Monitoring of Lifestyle Behaviors and Health Indicators in Diabetes: Qualitative Study

Yan Du, Brittany Dennis, Shanae Lakel Rhodes, Michelle Sia, Jisook Ko, Rozmin Jiwani, Jing Wang

JMIR Diabetes 2020;5(3):e21183

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Investigating the Perceptions of Care Coordinators on Using Behavior Theory-Based Mobile Health Technology With Medicaid Populations: A Grounded Theory Study

Brittany Erika Sigler

JMIR Mhealth Uhealth 2017;5(3):e36

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Internet Use, Risk Awareness, and Demographic Characteristics Associated With Engagement in Preventive Behaviors and Testing: Cross-Sectional Survey on COVID-19 in the United States

Siyue Li, Bo Feng, Wang Liao, Wenjing Pan

J Med Internet Res 2020;22(6):e19782

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The Physical Activity Tracker Testing in Youth (P.A.T.T.Y.) Study: Content Analysis and Children’s Perceptions

Brittany Masteller, John Sirard, Patty Freedson

JMIR Mhealth Uhealth 2017;5(4):e55

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Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study

Cuihua Shen, Anfan Chen, Chen Luo, Jingwen Zhang, Bo Feng, Wang Liao

J Med Internet Res 2020;22(5):e19421

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Statistical Issues and Lessons Learned From COVID-19 Clinical Trials With Lopinavir-Ritonavir and Remdesivir

We take the three randomized clinical trials conducted by Cao et al [12] on lopinavir-ritonavir and by Wang et al [13] and Beigel et al [14] on remdesivir as examples to illustrate statistical issues and lessons learned, as they have drawn great attention in

Guosheng Yin, Chenyang Zhang, Huaqing Jin

JMIR Public Health Surveill 2020;6(3):e19538

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Depression Risk Prediction for Chinese Microblogs via Deep-Learning Methods: Content Analysis

This study represents an extension of the study of Wang et al [16], who presented an annotated dataset of Chinese microblogs for depression risk prediction and compared four machine-learning methods, including the deep-learning method bidirectional encoder

Xiaofeng Wang, Shuai Chen, Tao Li, Wanting Li, Yejie Zhou, Jie Zheng, Qingcai Chen, Jun Yan, Buzhou Tang

JMIR Med Inform 2020;8(7):e17958

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Digital Mental Health: The Answer to the Global Mental Health Crisis?

Brittany N Rudd, Rinad S Beidas

JMIR Ment Health 2020;7(6):e18472

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