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Analysis of Documentation Speed Using Web-Based Medical Speech Recognition Technology: Randomized Controlled Trial

Analysis of Documentation Speed Using Web-Based Medical Speech Recognition Technology: Randomized Controlled Trial

text, the study step (ie, the clinical report) was finished by hitting one of three smileys to indicate the mood.

Markus Vogel, Wolfgang Kaisers, Ralf Wassmuth, Ertan Mayatepek

J Med Internet Res 2015;17(11):e247


An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study

An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study

With this in mind, along with the recognition of an unmet need for a Web-based automated platform to track psychiatric outcomes, Johns Hopkins University partnered with Health Central (a subsidiary of Remedy Health Media LLC), who developed and maintained Mood

Anupama Kumar, Michael Wang, Alison Riehm, Eileen Yu, Ted Smith, Adam Kaplin

JMIR Ment Health 2020;7(5):e16237


Informing the Development of a Digital Health Platform Through Universal Points of Care: Qualitative Survey Study

Informing the Development of a Digital Health Platform Through Universal Points of Care: Qualitative Survey Study

universal points of care for which the respondents were asked to provide details about the scenarios before and after the introduction of remote measurement technology.Patient sharing data with clinicianA patient has been monitoring how they feel (activity, mood

Michael P Craven, Jacob A Andrews, Alexandra R Lang, Sara K Simblett, Stuart Bruce, Sarah Thorpe, Til Wykes, Richard Morriss, Chris Hollis, The RADAR-CNS Consortium

JMIR Form Res 2020;4(11):e22756


Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data

In the area of pattern recognition, kNNs [44] are the most effective method that exploits repeated patterns. The kNN algorithm has been successfully applied to forecast to histogram time series in financial data [45].

Shivapratap Gopakumar, Truyen Tran, Wei Luo, Dinh Phung, Svetha Venkatesh

JMIR Med Inform 2016;4(3):e25


Application of an Isolated Word Speech Recognition System in the Field of Mental Health Consultation: Development and Usability Study

Application of an Isolated Word Speech Recognition System in the Field of Mental Health Consultation: Development and Usability Study

This study involves basic application research on the use of intelligent software design and speech recognition technology in the context of mental health.MethodsProgramming of a Speech Recognition System Based on VC2005 Isolated WordsIn this study, C language

Weifeng Fu

JMIR Med Inform 2020;8(6):e18677


Opportunities and Pitfalls in Applying Emotion Recognition Software for Persons With a Visual Impairment: Simulated Real Life Conversations

Opportunities and Pitfalls in Applying Emotion Recognition Software for Persons With a Visual Impairment: Simulated Real Life Conversations

Given the need from the community and the potential of emotion recognition software in meeting these needs, we investigated to what extent such emotion recognition software can support visually impaired persons in their daily lives.Previously, we presented

Hendrik Buimer, Renske Schellens, Tjerk Kostelijk, Abdellatif Nemri, Yan Zhao, Thea Van der Geest, Richard Van Wezel

JMIR Mhealth Uhealth 2019;7(11):e13722