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Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial

Using Psychological Artificial Intelligence (Tess) to Relieve Symptoms of Depression and Anxiety: Randomized Controlled Trial

It is of note that Tess was disguised as Zara for this study to prevent bias in the unlikely chance that participants had been exposed to Tess through another initiative.Although Tess is capable of connecting users with a counselor in case of crisis, this study

Russell Fulmer, Angela Joerin, Breanna Gentile, Lysanne Lakerink, Michiel Rauws

JMIR Ment Health 2018;5(4):e64

Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study

Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study

Lower values of partial RMSE and partial MAE indicated better imputation.We calculated the standard deviationand the intradaily variability indexwhere N was the total number of values in the data record, Xj was the jth value in the data record, and was the

Jong-Hwan Jang, Junggu Choi, Hyun Woong Roh, Sang Joon Son, Chang Hyung Hong, Eun Young Kim, Tae Young Kim, Dukyong Yoon

JMIR Mhealth Uhealth 2020;8(7):e16113

Digital Tools to Ameliorate Psychological Symptoms Associated With COVID-19: Scoping Review

Digital Tools to Ameliorate Psychological Symptoms Associated With COVID-19: Scoping Review

GET.ON.PAPP have been previously evaluated and reported in published research.Headgear, MoodHacker, SuperBetter, Thought Challenger, Angesthjalpen, AnxietyCoach, and SmartCAT are commercially available.Gaffney et al [21]2019Conversational agents or chatbotsWoebot, Tess

Melvyn Zhang, Helen Elizabeth Smith

J Med Internet Res 2020;22(8):e19706

Evaluating Doctor Performance: Ordinal Regression-Based Approach

Evaluating Doctor Performance: Ordinal Regression-Based Approach

MAE and MSE can directly measure the degree of deviation between the true label (goldi) and predicted label (predicted).

Yong Shi, Peijia Li, Xiaodan Yu, Huadong Wang, Lingfeng Niu

J Med Internet Res 2018;20(7):e240

Implementation Determinants and Outcomes of a Technology-Enabled Service Targeting Suicide Risk in High Schools: Mixed Methods Study

Implementation Determinants and Outcomes of a Technology-Enabled Service Targeting Suicide Risk in High Schools: Mixed Methods Study

recommended suicide prevention strategies because of practical concerns, such as the capacity to manage false positives, lack of knowledge of evidence-based practices, fear, stigma, as well as legal and ethical issues [11,13].Technology-enabled services (TESs

Molly Adrian, Jessica Coifman, Michael D Pullmann, Jennifer B Blossom, Casey Chandler, Glen Coppersmith, Paul Thompson, Aaron R Lyon

JMIR Ment Health 2020;7(7):e16338