A Data Federation Approach to Analyze Behavioral Health and Supplement Healthcare Practice with Community Health Metrics in Alaska
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Updated
Apr 21, 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.
Generic event emitter for bh-audit-schema implmentations
Open-source clinical safety signal detection for behavioral health systems. Text in. Flags out. Clinician decides.
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.
Minimal applications demonstrating bh-sentinel (core and ml - latest) with production-hardened, HIPAA-safe defaults.
Minimal applications demonstrating bh-audit-logger (v0.4.0) with production-hardened, HIPAA-safe defaults.
implements OptimaQ, an AI-powered addiction prediction system using Q-learning (reinforcement learning)
Simulation-based clinical AI decision-support system for behavioral health triage in extreme environments.
Blue Cross Blue Shield provider data scraper built with Python and Selenium
A framework for distinguishing crisis support from exploitative dependency. Developed from First Nations observation, grounded in 7 Sacred Teachings. "No shame" self-assessment architecture.
Privacy-preserving SUD+SDOH data integration pipeline for US behavioral health care coordination
Geographic disparities in mental health care availability and affordability across California's 57 provider counties — two-dimensional access analysis for policy, workforce planning, and behavioral health research
The Healing Path from Addiction: For the Seeker
The Healing Path from Addiction: Healer's Guide
Operational analysis of a fictional behavioral health unit using Python, Pandas, and Seaborn
Validation-first data pipeline for Care Predictor, integrating multi-source healthcare data into canonical patient-level models and decision-ready outputs.
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