Discovery of a Latent Entropy-Based Physiologic State Variable Governing Multisystem Instability in Critical Illness
<p dir="ltr">This dataset contains all code, intermediate tables, and outputs used to compute the Energy Index (EI), its time-derivative (EI_slope), and associated cross-correlation and regression analyses on patient vital signs. The files correspond exactly to Phases 03 and 04 of th...
محفوظ في:
| المؤلف الرئيسي: | |
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| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| الملخص: | <p dir="ltr">This dataset contains all code, intermediate tables, and outputs used to compute the Energy Index (EI), its time-derivative (EI_slope), and associated cross-correlation and regression analyses on patient vital signs. The files correspond exactly to Phases 03 and 04 of the computational workflow. Contents: notebook/ – A full Google Colab notebook exported as HTML and IPYNB, containing the exact code used for data cleaning, EI computation, EI_slope derivation, cross-correlation analysis, and multivariable regression. tables/ – CSV files of the processed ei_full dataframe, the xcorr_df table (lag-based cross-correlation results), and the ss_df table (two-variable OLS models for EI_slope). figures/ – Auto-generated plots of EI trajectories and regression diagnostics (if any were produced). metadata/ – Variable dictionaries, version information for Python, NumPy, Pandas, Statsmodels, and notes on reproducibility. Source data: All raw clinical data originate from the MIMIC-IV database (PhysioNet) and are not redistributed here. Users must obtain their own access credentials to PhysioNet. This repository contains only derived variables and reproducible code. File format: ZIP archive. All files are UTF-8 encoded. Python 3.12 environment. Purpose: To allow full replication of the statistical pipeline for computing EI, EI_slope, and evaluating their associations with physiological variables in a real EHR dataset.</p> |
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