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Application of a Blockchain Platform to Manage and Secure Personal Genomic Data: A Case Study of LifeCODE.ai in China

Application of a Blockchain Platform to Manage and Secure Personal Genomic Data: A Case Study of LifeCODE.ai in China

To address this issue, an increasing number of companies and institutions are using advanced computational tools, including big data analysis and cloud computing, to construct genomics big data platforms to integrate personal genomics data [5,6].

Xiao-Ling Jin, Miao Zhang, Zhongyun Zhou, Xiaoyu Yu

J Med Internet Res 2019;21(9):e13587


Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations

Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations

, and resource allocation.Existing papers on COVID-19 big data provide limited discussion and analysis on specific big data applications [10,31]; address the application of big data in a subdivision of COVID-19 prevention and control, and discuss the application

Jun Wu, Jian Wang, Stephen Nicholas, Elizabeth Maitland, Qiuyan Fan

J Med Internet Res 2020;22(10):e21980


Understanding a Nonlinear Causal Relationship Between Rewards and Physicians’ Contributions  in Online Health Care Communities: Longitudinal Study

Understanding a Nonlinear Causal Relationship Between Rewards and Physicians’ Contributions in Online Health Care Communities: Longitudinal Study

To investigate whether adding psychological and material rewards would cause the physicians’ online contribution behavior to change, we designed a longitudinal study involving a data sample in three waves. The data collection process is shown in Figure 2.

Jying-Nan Wang, Ya-Ling Chiu, Haiyan Yu, Yuan-Teng Hsu

J Med Internet Res 2017;19(12):e427


Big Data and Clinicians: A Review on the State of the Science

Big Data and Clinicians: A Review on the State of the Science

A popular definition of big data is the “3V” model proposed by Gartner [10], which attributes three fundamental features to big data: high volume of data mass, high velocity of data flow, and high variety of data types.

Weiqi Wang, Eswar Krishnan

JMIR Med Inform 2014;2(1):e1


Challenges and Opportunities of Big Data in Health Care: A Systematic Review

Challenges and Opportunities of Big Data in Health Care: A Systematic Review

This systematic review explores the depth of big data analytics since 2010 and identifies both challenges and opportunities associated with big data in health care.

Clemens Scott Kruse, Rishi Goswamy, Yesha Jayendrakumar Raval, Sarah Marawi

JMIR Med Inform 2016;4(4):e38


Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study

Understanding the Uptake of Big Data in Health Care: Protocol for a Multinational Mixed-Methods Study

Big data can be captured by mobile apps, real-time location tracking, and urban registries [1]. Patients, citizens, and other stakeholders can collect big data, sometimes for other purposes than health care.

Rik Wehrens, Vikrant Sihag, Sandra Sülz, Hilco van Elten, Erik van Raaij, Antoinette de Bont, Anne Marie Weggelaar-Jansen

JMIR Res Protoc 2020;9(10):e16779


The Academic Viewpoint on Patient Data Ownership in the Context of Big Data: Scoping Review

The Academic Viewpoint on Patient Data Ownership in the Context of Big Data: Scoping Review

Big is a relative term, especially when it comes to data, and big data usually include data sets that exceed the capabilities of commonly used software tools to store, manage, and process data within a reasonable period of time.The volume of data is constantly

Martin Mirchev, Iskra Mircheva, Albena Kerekovska

J Med Internet Res 2020;22(8):e22214


Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

Seeing the “Big” Picture: Big Data Methods for Exploring Relationships Between Usage, Language, and Outcome in Internet Intervention Data

These datasets often fall under the umbrella of “big data,” where big data is defined as a dataset so large and complex that traditional data analytic approaches cannot easily handle them [1].

Jordan Carpenter, Patrick Crutchley, Ran D Zilca, H Andrew Schwartz, Laura K Smith, Angela M Cobb, Acacia C Parks

J Med Internet Res 2016;18(8):e241


Treatment Adherence and Secondary Prevention of Ischemic Stroke Among Discharged Patients Using Mobile Phone- and WeChat-Based Improvement Services: Cohort Study

Treatment Adherence and Secondary Prevention of Ischemic Stroke Among Discharged Patients Using Mobile Phone- and WeChat-Based Improvement Services: Cohort Study

A total of 2 years of follow-up data were collected to analyze WeChat platform adherence and related factors.Figure 5Flowchart of the study design.

Yuanjin Zhang, Dongsheng Fan, Hong Ji, Shudong Qiao, Xia Li

JMIR Mhealth Uhealth 2020;8(4):e16496