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Analyze trends and patterns in health data over a period of time. Correlate changes in medications, symptoms, vital signs, lab results, and other health indicators. Identify concerning trends, improvements, and provide data-driven insights. Use this when users ask about health trends, patterns, changes over time, or "What's changed with my health status?" Supports multi-dimensional analysis (weight/BMI, symptoms, medication adherence, lab results, mood and sleep), correlation analysis, change detection, and interactive HTML visualization reports (ECharts charts).
Step-by-step tutorial for adding a heavyweight AOT CUDA/C++ kernel to sgl-kernel (including tests & benchmarks)
Perl testing patterns using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.