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Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis
J Med Internet Res 2025;27:e71305
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Addendum to "Harnessing ChatGPT for Thematic Analysis: Are We Ready?"
J Med Internet Res 2025;27:e68963
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In our proposed visualization tool, mind LAMPVis, we support the following visualizations (V) of active (A) and passive (P) data:
MCA trend (V1 A) of survey data (Figure S1 in Multimedia Appendix 1),
MCA eigengap (V2 A) of survey data (Figure S2 in Multimedia Appendix 1),
Date-clustering (V3 A) of survey data (Figure 1),
Home time (V1 P) of significant locations data (Figure 2),
Significant location (V2 P) of significant locations data (Figure 2).
JMIR Form Res 2025;9:e70073
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Three personas are presented in the second iteration, representing three common patient scenarios, John remains as per iteration one, with Mary and Adam added as new personas.
Mary differs from John as she has responded to nonpharmacological interventions and her parents agree that she does not require medication to manage her ADHD.
JMIR Form Res 2025;9:e53617
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