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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

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Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder

Thus, sensor data can aid in automatic recognition of mood-state changes and can support relapse prevention [23-27].

Henning Daus, Timon Bloecher, Ronny Egeler, Richard De Klerk, Wilhelm Stork, Matthias Backenstrass

JMIR Ment Health 2020;7(7):e14267

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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

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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

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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

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Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records

Chandan Karmakar, Wei Luo, Truyen Tran, Michael Berk, Svetha Venkatesh

JMIR Ment Health 2016;3(3):e19

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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

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A Facial Recognition Mobile App for Patient Safety and Biometric Identification: Design, Development, and Validation

Facial recognition does not require any physical contact with a device for recognition, and patients can be recognized even when they are unconscious.

Byoungjun Jeon, Boseong Jeong, Seunghoon Jee, Yan Huang, Youngmin Kim, Gee Ho Park, Jungah Kim, Maierdanjiang Wufuer, Xian Jin, Sang Wha Kim, Tae Hyun Choi

JMIR Mhealth Uhealth 2019;7(4):e11472

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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

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Using a Virtual Serious Game (Deusto-e-motion1.0) to Assess the Theory of Mind in Primary School Children: Observational Descriptive Study

Similar games have been developed to induce mood enhancement on both clinical and nonclinical samples [12].

Esther Lázaro, Imanol Amayra, Juan Francisco López-Paz, Oscar Martínez, Manuel Pérez Alvarez, Sarah Berrocoso, Mohammad Al-Rashaida, Maitane García, Paula Luna, Paula Pérez-Núñez, Alicia Aurora Rodriguez, Paula Fernández, Pamela Parada Fernández, Mireia Oliva-Macías

JMIR Serious Games 2020;8(2):e12971

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