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NEMSIS Dataset

This project aims to evaluate various data imputation methods using Emergency Medical Services (EMS) data from the National Emergency Medical Services Information System (NEMSIS), focusing on MICE and MissForest, to identify predictors of ICU cardiac arrest outcomes, particularly with respect to urban versus rural settings.

Updated 4/3/2024
github

Description

Dataset Overview

Dataset Name

Imputation of NEMSIS Dataset for Cardiac Arrest Analysis

Dataset Purpose

The project aims to fill gaps in the National Emergency Medical Services Information System (NEMSIS) data to discover predictors of cardiac arrest outcomes in ICU patients, especially predicting based on urban versus rural settings.

Dataset Content

  • data
    • ASCII_2020
      • processeddataCA.zip: EMS data from NEMSIS.
    • filtered_data: Dataset processed by scripts.
    • Imputed_Data_MICE: Dataset imputed using the MICE method.
    • Imputed_Data_MICE&MissForest: Dataset imputed using both MICE and Miss Forest methods.
    • fig: Figures used in project analysis.
    • reference: NEMSIS data dictionary, case definitions, and other related materials.

Dataset Source

  • Original data source: NEMSIS Database
  • Subset of data obtainable from scientists at the Roux Institute:
    • Filename: "processeddataCA.zip"
    • Size: 55,649,704 bytes

Dataset Usage

  • Create a reproducible environment using Miniconda or Anaconda.

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Topics

Emergency Medical Services
Data Analysis

Source

Organization: github

Created: 4/3/2024

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