AI Health Analyzer

AI Health Analyzer is a comprehensive health analysis system powered by artificial intelligence technology from the Claude-Ally-Health project. It provides intelligent health insights, risk prediction, and personalized recommendations by integrating multi-dimensional health data.

Key Features

1. Intelligent Health Analysis

Multi-dimensional Data Integration: Integrates 4 types of data sources including basic metrics, lifestyle, mental health, and medical history
Abnormal Pattern Recognition: Detects anomalies and change points using CUSUM, Z-score, and other algorithms
Correlation Analysis: Calculates correlations between different health indicators (Pearson, Spearman)
Trend Prediction: Performs trend analysis and prediction based on historical data

2. Health Risk Prediction

Hypertension Risk: Based on Framingham Risk Score model
Diabetes Risk: Based on ADA Diabetes Risk Assessment standards
Cardiovascular Disease Risk: Based on ACC/AHA ASCVD guidelines
Nutritional Deficiency Risk: Based on RDA achievement rate and dietary pattern analysis
Sleep Disorder Risk: Based on PSQI and sleep pattern analysis

3. Personalized Recommendation Engine

Basic Personalization: Based on static profile data like age, gender, BMI, activity level
Recommendation Levels: Level 1 (General), Level 2 (Reference), Level 3 (Medical advice)
Evidence-Based: Based on medical guidelines and evidence-based medicine
Actionability: Provides specific, feasible improvement suggestions

4. Natural Language Interaction

Intelligent Q&A: Supports health data queries, trend analysis, correlation queries
Context Understanding: Maintains conversation history, supports multi-turn dialogue
Intent Recognition: Identifies user query intent, provides precise responses

5. AI Health Report Generation

Comprehensive Report: Includes all dimensional health data, AI insights, risk assessment
Quick Summary: Key metrics overview, abnormal alerts, main recommendations
Risk Assessment Report: Various disease risks, risk factor analysis, prevention measures
Trend Analysis Report: Multi-dimensional trends, change point identification, predictive analysis
HTML Interactive Report: ECharts charts with Tailwind CSS styling

Use Cases

Who Should Use This Skill?

Health-Conscious Individuals: People who want comprehensive health monitoring and analysis
Chronic Disease Patients: Individuals managing conditions like hypertension or diabetes
Fitness Enthusiasts: Those tracking workout performance and health metrics
Healthcare Professionals: Doctors and health coaches analyzing patient data
Wellness Coaches: Professionals providing personalized health recommendations

Problems It Solves

Data Fragmentation: Consolidates health data from multiple sources into unified insights
Risk Unawareness: Predicts potential health risks before they become serious
Generic Advice: Provides personalized recommendations based on individual data patterns
Complex Analysis: Automates sophisticated health analysis that would otherwise require medical expertise

Technical Implementation

This Skill uses advanced AI algorithms and medical standards:

Statistical Analysis: CUSUM, Z-score, Pearson correlation, Spearman correlation
Risk Models: Framingham, ADA, ACC/AHA ASCVD guidelines
Data Processing: Time series analysis, anomaly detection, trend prediction
Visualization: ECharts for interactive charts, Tailwind CSS for styling
Storage: File-based JSON data storage for complete privacy

Getting Started

Prerequisites

Claude Code or Claude.ai with Skills support
Health data in JSON format (see Claude-Ally-Health data structure)
Basic health profile information

Quick Start Guide

Install the Skill: Add ai-analyzer skill to your .claude/skills directory
Prepare Data: Organize health data in the required JSON format
Configure AI Settings: Set up data sources in data/ai-config.json
Run Analysis: Ask Claude to analyze your health data
Review Reports: Generate comprehensive or focused health reports

Example Queries

"AI analyze my health status"
"What are my health risks?"
"Generate AI health report"
"Predict my hypertension risk"
"How is my sleep quality?"
"What can I do to improve my health?"

Advantages & Unique Selling Points

Compared to General Health Apps:

AI-Powered Insights: Uses advanced AI algorithms for deeper analysis than simple tracking apps
Evidence-Based: Recommendations based on established medical guidelines (Framingham, ADA, ACC/AHA)
Privacy-First: File-based storage keeps all health data completely private and local
Comprehensive Analysis: Analyzes correlations across multiple health dimensions simultaneously
Customizable: Open-source skill that can be adapted to specific health needs

What Makes It Stand Out:

Integration with Claude Code for natural language health consultations
Multi-level recommendation system (general, reference, medical)
Interactive HTML reports with professional visualizations
Support for multiple health data sources and formats
Complete conversation history for contextual health discussions

Integration

Works seamlessly with:

Claude-Ally-Health System: Full integration with the personal health information system
Fitness Trackers: Can process data from various fitness tracking devices
Sleep Monitors: Analyzes sleep data for sleep disorder risk assessment
Nutrition Apps: Integrates dietary data for nutritional analysis
Medical Records: Processes lab results and medical imaging reports

Frequently Asked Questions

Is my health data secure?

Yes, all data is stored locally in JSON files. No data is sent to external servers except when using Claude for analysis, which follows Anthropic's privacy policies.

What medical standards does it use?

The skill uses established medical guidelines including Framingham Risk Score, ADA Diabetes Risk Assessment, and ACC/AHA ASCVD guidelines.

Can it replace my doctor?

No. This skill provides informational analysis and Level 3 recommendations always include disclaimers to consult healthcare professionals. It's a supplementary tool, not a replacement for medical advice.

What data sources does it support?

It supports basic health metrics, fitness data, sleep data, nutrition data, mental health data, medications, and medical history.

How accurate are the risk predictions?

Risk predictions use validated medical models but are estimates based on available data. Accuracy depends on data quality and completeness. Always consult healthcare professionals for medical decisions.

If you're interested in AI Health Analyzer, you might also find these Claude-Ally-Health skills useful:

Emergency Card: Generate emergency medical information cards
Fitness Analyzer: Detailed workout and fitness progress analysis
Nutrition Analyzer: Comprehensive nutritional analysis and meal planning
Sleep Analyzer: In-depth sleep quality analysis and improvement recommendations
Mental Health Analyzer: Mental health tracking and wellness insights

Tips & Best Practices

Regular Updates: Update health data regularly for more accurate trend analysis
Complete Profile: Ensure your health profile is comprehensive for better personalization
Multiple Data Sources: Integrate data from various sources for holistic insights
Review Trends: Focus on long-term trends rather than day-to-day fluctuations
Act on Recommendations: Implement Level 1 and Level 2 recommendations, consult doctors for Level 3
Track Changes: Monitor how lifestyle changes affect your health metrics over time

Conclusion

AI Health Analyzer is a powerful skill for anyone serious about understanding and improving their health. By combining AI technology with established medical guidelines, it provides comprehensive, personalized health insights that go far beyond simple tracking. While it's not a replacement for professional medical care, it's an invaluable tool for proactive health management and informed health discussions.

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AI Health Analyzer