GitHub - rishabh297/Early-Detection-of-ARDS-Subphenotypes: In this study, I use machine learning to prospectively classify ARDS patients, as defined by the New Global Definition 2023, into distinct phenotypes. This finding suggests that there is a high-performing method for the early prospective detection of ARDS phenotypes, offering valuable insights for personalized treatment strategies.

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In this study, I use machine learning to prospectively classify ARDS patients, as defined by the New Global Definition 2023, into distinct phenotypes. This finding suggests that there is a high-performing method for the early prospective detection of ARDS phenotypes, offering valuable insights for personalized treatment strategies.

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Name		Name	Last commit message	Last commit date
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Converting_zips_to_csv.py		Converting_zips_to_csv.py
LPA_Baseline_Variables.ipynb		LPA_Baseline_Variables.ipynb
encounter_baseline_chartevents.py		encounter_baseline_chartevents.py
long_baseline.py		long_baseline.py