A Data Federation Approach to Analyze Behavioral Health and Supplement Healthcare Practice with Community Health Metrics in Alaska
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Updated
Feb 9, 2026 - TypeScript
A Data Federation Approach to Analyze Behavioral Health and Supplement Healthcare Practice with Community Health Metrics in Alaska
Digitization for Recovery: Exploring Arts with Mining for Societal well-being.
PHI-safe audit logging middleware for FastAPI healthcare APIs
A canonical, versioned audit event standard for behavioral health systems.
The goal of this project is to develop a predictive model that analyzes children's physical activity and fitness data to identify early signs of problematic internet use. Identifying these patterns can help trigger interventions to encourage healthier digital habits.
implements OptimaQ, an AI-powered addiction prediction system using Q-learning (reinforcement learning)
Blue Cross Blue Shield provider data scraper built with Python and Selenium
The Healing Path from Addiction: For the Seeker
A framework for distinguishing crisis support from exploitative dependency. Developed from First Nations observation, grounded in 7 Sacred Teachings. "No shame" self-assessment architecture.
The Healing Path from Addiction: Healer's Guide
Integrated Health Empowerment Program
Clinical LLM prompt/skill toolkit for screening, scoring, safety, documentation, and clinical calculators (renal/metabolic, CV risk, ED rules, pediatrics, geriatrics, ICU severity, primary care). Covers validated tools (PHQ-9/2, GAD-7/2, PCL-5, AUDIT-C, DAST-10, C-SSRS, ASQ, PHQ-4, K6/K10, WHO-5) with multi-platform manifests and consumer bundles.
📊 Analyze children's activity data to predict and address problematic internet use, fostering healthier digital habits through early intervention.
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