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Developing Embedded Taxonomy and Mining Patients’ Interests From Web-Based Physician Reviews: Mixed-Methods Approach

Developing Embedded Taxonomy and Mining Patients’ Interests From Web-Based Physician Reviews: Mixed-Methods Approach

The prior research most related to this study is Hao and Zhang [9], in which authors extracted hidden topics from Web-based physician reviews using the Latent Dirichlet Allocation (LDA).

Jia Li, Minghui Liu, Xiaojun Li, Xuan Liu, Jingfang Liu

J Med Internet Res 2018;20(8):e254


A Smartphone Attention Bias Intervention for Individuals With Addictive Disorders: Protocol for a Feasibility Study

A Smartphone Attention Bias Intervention for Individuals With Addictive Disorders: Protocol for a Feasibility Study

Since Cristea et al’s meta-analysis [14], Zhang et al [18] conducted a systematic review and reported that attentional biases were present in opioid use and stimulant use disorders.

Melvyn Zhang, Jiangbo Ying, Syidda B Amron, Zaakira Mahreen, Guo Song, Daniel SS Fung, Helen Smith

JMIR Res Protoc 2018;7(11):e11822


Co-designing a Mobile Gamified Attention Bias Modification Intervention for Substance Use Disorders: Participatory Research Study

Co-designing a Mobile Gamified Attention Bias Modification Intervention for Substance Use Disorders: Participatory Research Study

Moreover, Zhang et al [19] also reported at least 17 bias modification apps in the commercial store, but only one app had an academic input.

Melvyn Zhang, Sandor Heng, Guo Song, Daniel SS Fung, Helen E Smith

JMIR Mhealth Uhealth 2019;7(10):e15871


A Review of Visual Representations of Physiologic Data

A Review of Visual Representations of Physiologic Data

↓–TTTSainsbury, 1993 [35]Surgery Eval.Pos.Live––C––Zhang et al, 2002 [36]Lab Exp.±Sim.±–C, GGGKennedy et al, 2008 [37]Lab Exp.Pos.Sim.––C––Lowe et al, 2001 [38]Lab App.Pos.Sim.––C––Charbonnier, 2004 [39]Lab Des.–Sim.––C––Shabot et al, 1986 [40]Lab Des.–Sim.

Rishikesan Kamaleswaran, Carolyn McGregor

JMIR Med Inform 2016;4(4):e31


“Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States

“Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States

In addition, Zhang et al assessed Internet search query data, specifically on tobacco and lung cancer, in the United States, Canada, the United Kingdom, Australia, and China from January 2004 to January 2014 using GT.

Forough Foroughi, Alfred K-Y Lam, Megan S.C. Lim, Nassim Saremi, Alireza Ahmadvand

JMIR Cancer 2016;2(1):e5