claude

sci-healthcare-ai

EHR/physiological-signal ML: PyHealth pipelines and NeuroKit2 biosignal processing.

0 on GitHubby galeepv0.1.0mixed (see individual skills)updated todayclinical
/

Plugin sci-healthcare-ai from marketplace plugin-place in galeep/plugin-place. Commands read from the repo's manifest — today.

What it installs

Skills (2)

  • neurokit2

    Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnos

  • pyhealth

    Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality, readmission, length-of-stay, drug recommendation, sleep staging, ICD coding, EEG events), instantiating models

View source on GitHub

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