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Internet Hospitals in China: Cross-Sectional Survey

Internet Hospitals in China: Cross-Sectional Survey

On the other hand, the traditional medical resources’ inability to meet the needs of the public medical services also contributed to the development of Internet hospitals [1,7,10].Matthew EffectWe found there was a Matthew effect, especially with medical resources

Xiaoxu Xie, Weimin Zhou, Lingyan Lin, Si Fan, Fen Lin, Long Wang, Tongjun Guo, Chuyang Ma, Jingkun Zhang, Yuan He, Yixin Chen

J Med Internet Res 2017;19(7):e239


Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort

Prediction of Preeclampsia and Intrauterine Growth Restriction: Development of Machine Learning Models on a Prospective Cohort

This goal can be considered to have been achieved if the prediction model demonstrates a higher Matthew correlation coefficient (MCC) than those of recent studies. The range of MCCs is from –1 (worst) to 1 (best).

Herdiantri Sufriyana, Yu-Wei Wu, Emily Chia-Yu Su

JMIR Med Inform 2020;8(5):e15411


Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research

Consensus on Use of the Term “App” Versus “Application” for Reporting of mHealth Research

that leading eHealth medical informatics publications such as the JMIR journals implement a policy to utilize common nomenclature moving forward to facilitate improved reporting of studies investigating mobile medical app interventions.Thomas Lorchan Lewis, Matthew

Thomas Lorchan Lewis, Matthew Alexander Boissaud-Cooke, Timothy Dy Aungst, Gunther Eysenbach

J Med Internet Res 2014;16(7):e174


Overcoming Clinical Inertia: A Randomized Clinical Trial of a Telehealth Remote Monitoring Intervention Using Paired Glucose Testing in Adults With Type 2 Diabetes

Overcoming Clinical Inertia: A Randomized Clinical Trial of a Telehealth Remote Monitoring Intervention Using Paired Glucose Testing in Adults With Type 2 Diabetes

An estimated group mean A1c difference of 0.11 (t 159=0.63, P=.53) at 3 months and –0.11 (t 159=–0.59, P=.55) at 6 months showed no significant differences between groups.

Deborah A Greenwood, Shelley A Blozis, Heather M Young, Thomas S Nesbitt, Charlene C Quinn

J Med Internet Res 2015;17(7):e178