Clinical decision support for LAI-PrEP bridge period
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Updated
Oct 25, 2025 - Python
Clinical decision support for LAI-PrEP bridge period
A digital health data science prototype exploring how contextual signals may predict walking adherence using simulated data.
Hierarchical cluster analysis of AI implementation barriers among K-12 educators (N=189). Person-centered approach reveals 8 distinct constraint profiles with inverse cost-skill relationship (φ=-.246). JASP for statistics, Python for visualization. Published: DOI 10.5281/zenodo.17519099
A responsible AI evaluation prototype assessing simulated health behavior suggestions for safety, feasibility, usability, and personalization.
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