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@ai-multiply

AI MULTIPLY

Using AI to characterise the dynamic inter-relationships between MUltiple Long-term condiTIons and PoLYpharmacy

Welcome to the AI Multiply Consortium

The AI Multiply consortium is a collaborative research initiative that unites experts from a variety of universities, the NHS, and Social Action for Health. We are dedicated to exploring and advancing the use of artificial intelligence (AI) in managing multimorbidity and polypharmacy.

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  1. bursty_dynamics bursty_dynamics Public

    bursty_dynamics is a Python package designed to facilitate the analysis of temporal patterns in longitudinal data. It provides functions to calculate the burstiness parameter (BP) and memory coeffi…

    Jupyter Notebook 4

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  • bursty_dynamics Public

    bursty_dynamics is a Python package designed to facilitate the analysis of temporal patterns in longitudinal data. It provides functions to calculate the burstiness parameter (BP) and memory coefficient (MC), detect event trains, and visualise results.

    ai-multiply/bursty_dynamics’s past year of commit activity
    Jupyter Notebook 4 MIT 0 0 0 Updated Nov 5, 2024
  • .github Public
    ai-multiply/.github’s past year of commit activity
    0 0 0 0 Updated Aug 16, 2024

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