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mHealth Interventions for Health System Strengthening in China: A Systematic Review

Maoyi Tian, Jing Zhang, Rong Luo, Shi Chen, Djordje Petrovic, Julie Redfern, Dong Roman Xu, Anushka Patel

JMIR Mhealth Uhealth 2017;5(3):e32

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Augmenting Qualitative Text Analysis with Natural Language Processing: Methodological Study

They found that Wu-Palmer similarity was a better measure to capture the semantic similarity between words in a text clustering application.

Timothy C Guetterman, Tammy Chang, Melissa DeJonckheere, Tanmay Basu, Elizabeth Scruggs, V G Vinod Vydiswaran

J Med Internet Res 2018;20(6):e231

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Use of a Low-Cost, Chest-Mounted Accelerometer to Evaluate Transfer Skills of Wheelchair Users During Everyday Activities: Observational Study

Giulia Barbareschi, Catherine Holloway, Nadia Bianchi-Berthouze, Sharon Sonenblum, Stephen Sprigle

JMIR Rehabil Assist Technol 2018;5(2):e11748

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De-Identification of Facial Features in Magnetic Resonance Images: Software Development Using Deep Learning Technology

Yeon Uk Jeong, Soyoung Yoo, Young-Hak Kim, Woo Hyun Shim

J Med Internet Res 2020;22(12):e22739

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Remote Examination and Screening for Domestic Abuse. Comment on “Online Antenatal Care During the COVID-19 Pandemic: Opportunities and Challenges”

After reading the viewpoint by Wu et al [1] on opportunities for the delivery of antenatal care online during the COVID-19 pandemic, we would like to draw attention to a potential further aspect of this analysis.

Hannah Lee Grimes, Ramnik Uppal

J Med Internet Res 2021;23(2):e23295

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Classifying Chinese Questions Related to Health Care Posted by Consumers Via the Internet

Haihong Guo, Xu Na, Li Hou, Jiao Li

J Med Internet Res 2017;19(6):e220

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Addendum to the Acknowledgements: Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks

The authors of “Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks” (J Med Internet Res 2019;21(5):e13668) missed an important source of funding in the Acknowledgments section — Wu Tsai Neurosciences Institute

Peter Washington, Haik Kalantarian, Qandeel Tariq, Jessey Schwartz, Kaitlyn Dunlap, Brianna Chrisman, Maya Varma, Michael Ning, Aaron Kline, Nathaniel Stockham, Kelley Paskov, Catalin Voss, Nick Haber, Dennis Paul Wall

J Med Internet Res 2019;21(6):e14950

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Correction：Diagnostic Accuracy of Chest Computed Tomography Scans for Suspected Patients With COVID-19: Receiver Operating Characteristic Curve Analysis

The affiliation for authors Lianpin Wu, Qike Jin, and Jiawei He was incorrectly listed as: The affiliation for these authors has been corrected to: The correction will appear in the online version of the paper on the JMIR Publications website on November 20

Lianpin Wu, Qike Jin, Jie Chen, Jiawei He, David M Brett-Major, Jianghu James Dong

JMIR Public Health Surveill 2020;6(4):e25829

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Correction: Predictors of Patients’ Loyalty Toward Doctors on Web-Based Health Communities: Cross-Sectional Study

In “Predictors of Patients’ Loyalty Toward Doctors on Web-Based Health Communities: Cross-Sectional Study” by Wu et al (J Med Internet Res 2019;21(9):e14484), a minor error in the typesetting stage of publication resulted in the Acknowledgments section not

Tailai Wu, Zhuo Chen, Donglan Zhang, Xiang Wu, Ruoxi Wang

J Med Internet Res 2019;21(11):e16942

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The Detection of Opioid Misuse and Heroin Use From Paramedic Response Documentation: Machine Learning for Improved Surveillance

José Tomás Prieto, Kenneth Scott, Dean McEwen, Laura J Podewils, Alia Al-Tayyib, James Robinson, David Edwards, Seth Foldy, Judith C Shlay, Arthur J Davidson

J Med Internet Res 2020;22(1):e15645

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