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Use of Expert Relevancy Ratings to Validate Task-Specific Search Strategies for Electronic Medical Records

Use of Expert Relevancy Ratings to Validate Task-Specific Search Strategies for Electronic Medical Records

scenarios, medical record items, and raters. h ij is +1 if the search strategy would include the j th item of the i th scenario as a hit, and -1 if it would not be included. r ijk depends on the k

Harlan Harvey, Arun Krishnaraj, Tarik K Alkasab

JMIR Med Inform 2014;2(1):e4


Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis

Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis

There were more cross-sectional (k=15) [54,68,81,83,87,88,91,92,95] than longitudinal studies (k=11) [58,63,67,69,72,76,78,88]. Longitudinal studies ranged from 1 month to 6 months (see Multimedia Appendix 2).

Debaleena Chattopadhyay, Tengteng Ma, Hasti Sharifi, Pamela Martyn-Nemeth

J Med Internet Res 2020;22(7):e18839


Text Messaging-Based Interventions for Smoking Cessation: A Systematic Review and Meta-Analysis

Text Messaging-Based Interventions for Smoking Cessation: A Systematic Review and Meta-Analysis

length, k (%)6 months or longer3 (15)3-5 months3 (15)Less than 3 months14 (70)Retention, k (%)Withdrawal/drop-outs reported20 (100)Attrition, cases lost to follow-up considered20 (100)Data collection, k (%)Anonymous1 (5)Collateral verification1 (5)Used objective

Lori A. J. Scott-Sheldon, Ryan C. Lantini, Ernestine G. Jennings, Herpreet Thind, Rochelle K. Rosen, Elena Salmoirago-Blotcher, Beth C. Bock

JMIR Mhealth Uhealth 2016;4(2):e49


Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review

Person-Generated Health Data in Simulated Rehabilitation Using Kinect for Stroke: Literature Review

Hence, the objective of this review is to answer the questions: To what extent do K-SRS enable PGHD? And to what effect?

Gerardo Luis Dimaguila, Kathleen Gray, Mark Merolli

JMIR Rehabil Assist Technol 2018;5(1):e11


The Korean eHealth Literacy Scale (K-eHEALS): Reliability and Validity Testing in Younger Adults Recruited Online

The Korean eHealth Literacy Scale (K-eHEALS): Reliability and Validity Testing in Younger Adults Recruited Online

Through the expert panel discussion, the translated instrument was adjusted and the complete K-eHEALS was produced. Then, back-translation of the K-eHEALS was done by an independent translator and was compared against the original eHEALS.

SeonYoon Chung, Bu Kyung Park, Eun-Shim Nahm

J Med Internet Res 2018;20(4):e138


Psychometric Properties of the Korean Version of the PsyMate Scale Using a Smartphone App: Ecological Momentary Assessment Study

Psychometric Properties of the Korean Version of the PsyMate Scale Using a Smartphone App: Ecological Momentary Assessment Study

The HADS was assessed to compare the momentary negative affect and positive affect that were measured by the K-PsyMate scale, as described in a previous study [25].K-PsyMate Scale for Measuring Momentary MoodThe mood scale of the K-PsyMate was used for the

Yong Sook Yang, Gi Wook Ryu, Philippe A E G Delespaul, Mona Choi

JMIR Mhealth Uhealth 2020;8(7):e17926


A Deep-Learning Algorithm (ECG12Net) for Detecting Hypokalemia and Hyperkalemia by Electrocardiography: Algorithm Development

A Deep-Learning Algorithm (ECG12Net) for Detecting Hypokalemia and Hyperkalemia by Electrocardiography: Algorithm Development

We divided the data into five categories based on the serum K+ concentration: (1) K+ ≤2.5 mEq/L, (2) 2.5< K+ ≤3.5 mEq/L, (3) 3.5< K+ <5.5 mEq/L, (4) 5.5≤ K+ <6.5 mEq/L, and (5) K+ ≥6.5 mEq/L.

Chin-Sheng Lin, Chin Lin, Wen-Hui Fang, Chia-Jung Hsu, Sy-Jou Chen, Kuo-Hua Huang, Wei-Shiang Lin, Chien-Sung Tsai, Chih-Chun Kuo, Tom Chau, Stephen JH Yang, Shih-Hua Lin

JMIR Med Inform 2020;8(3):e15931