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Skip search results from other journals and go to results- 875 Journal of Medical Internet Research
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Hendrik Buimer, Renske Schellens, Tjerk Kostelijk, Abdellatif Nemri, Yan Zhao, Thea Van der Geest, Richard Van Wezel
JMIR Mhealth Uhealth 2019;7(11):e13722Download Citation: END BibTex RIS
Rosa Backx, Caroline Skirrow, Pasquale Dente, Jennifer H Barnett, Francesca K Cormack
J Med Internet Res 2020;22(8):e16792Download Citation: END BibTex RIS
Anish Nag, Nick Haber, Catalin Voss, Serena Tamura, Jena Daniels, Jeffrey Ma, Bryan Chiang, Shasta Ramachandran, Jessey Schwartz, Terry Winograd, Carl Feinstein, Dennis P Wall
J Med Internet Res 2020;22(4):e13810Download Citation: END BibTex RIS

Emotion Recognition Using Smart Watch Sensor Data: Mixed-Design Study
Logistic regression performed poorly across all conditions, showing that using data from different users to do emotion recognition on a different user is not possible with current features and logistic regression.Juan Carlos Quiroz, Elena Geangu, Min Hooi Yong
JMIR Ment Health 2018;5(3):e10153Download Citation: END BibTex RIS

Virtual Antenatal Encounter and Standardized Simulation Assessment (VANESSA): Pilot Study
However, in these emotionally charged conversations, the ability of the virtual patient to project a recognizable emotion is a key element to creating a valid user experience [7].Patrick Motz, Megan Gray, Taylor Sawyer, Jennifer Kett, Douglas Danforth, Kellen Maicher, Rachel Umoren
JMIR Serious Games 2018;6(2):e8Download Citation: END BibTex RIS
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):e12971Download Citation: END BibTex RIS
Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder
Bipolar disorders are further associated with a generally amplified emotionality [38,39] and difficulties in emotion processing and regulation [40-44], in emotion recognition [45-47], and in the expression of emotions [48,49].Henning Daus, Timon Bloecher, Ronny Egeler, Richard De Klerk, Wilhelm Stork, Matthias Backenstrass
JMIR Ment Health 2020;7(7):e14267Download Citation: END BibTex RIS
Michelle McDonnell, Jason Edward Owen, Erin O'Carroll Bantum
JMIR Form Res 2020;4(10):e18246Download Citation: END BibTex RIS

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):e25Download Citation: END BibTex RIS

Chandan Karmakar, Wei Luo, Truyen Tran, Michael Berk, Svetha Venkatesh
JMIR Ment Health 2016;3(3):e19Download Citation: END BibTex RIS