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Skip search results from other journals and go to results- 4 Journal of Medical Internet Research
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Ordinary least square regression revealed no significant change in symptom severity as a function of time (PHQ-8: P=.80; GAD-7: P=.83; SPIN: P=.57). However, there was substantial within-participant variability depending on the symptom measure, with mean SDs of 2.66, 3.50, and 5.90, for the PHQ-8, GAD-7, and SPIN, respectively.
Table 1 displays the repeated measure correlations primary outcomes by symptom cluster.
J Med Internet Res 2021;23(9):e22844
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Mobile Phone Detection of Semantic Location and Its Relationship to Depression and Anxiety
When considering individual correlations, some were statistically significant (P
Linear correlation coefficients (r) between time spent at semantic locations and depression (PHQ-9) and anxiety (GAD-7) scores. Values show the median of 1000 bootstrap estimates of r. Italicized values indicate coefficients that are significantly (P<.05) different from zero.
JMIR Mhealth Uhealth 2017;5(8):e112
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Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles
The correlation between the personal and global model accuracies is high (r=.685; P
The large variability of prediction accuracies across the participants led us to further explore why prediction fails for specific participants. Here, we looked into various metrics of data quality and investigated their relationship to the classification accuracy.
J Med Internet Res 2017;19(4):e118
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It was calculated as:
Entropy = −∑i
p
ilog p
i(2)
where each i=1, 2, …, N represented a location cluster, N denoted the total number of location clusters, and p
i was the percentage of time the participant spent at the location cluster i.
J Med Internet Res 2015;17(7):e175
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