Out-of-hospital cardiac arrest (OHCA) is a cessation of cardiac mechanical activity that occurs outside of the hospital setting and is confirmed by the absence of signs of circulation. OHCA affects nearly 1000 adult Americans every day, with overall survival rate of 10.4%. Based on previous work in this subject I try to calculate the joint probability distributions of the neurological outcomes of the OHCA outcomes in our records, based on the Event Demographics, Field Care, and Hospital Care. Using Python, I was able to develop an algorithm to calculate various joint probability distributions for the event outcomes from the event demographics, field, and hospital care features.
TABLE OF CONTENTS
II. PROJECT DEFINITION
UTILIZATION OF TRAINED MODEL
THE PREPROCESSING OF THE DATA FOR SIMULATION
THE SIMULATION OF BLOCKS OF DATA
Jain, G. (2021). Preprocessing and Simulation of Out of Hospital Cardiac Arrest Outcomes Data. Afribary. Retrieved from https://afribary.com/works/preprocessing-and-simulation-of-out-of-hospital-cardiac-arrest-outcomes-data
Jain, Gitesh "Preprocessing and Simulation of Out of Hospital Cardiac Arrest Outcomes Data" Afribary. Afribary, 07 Dec. 2021, https://afribary.com/works/preprocessing-and-simulation-of-out-of-hospital-cardiac-arrest-outcomes-data. Accessed 24 May. 2022.
Jain, Gitesh . "Preprocessing and Simulation of Out of Hospital Cardiac Arrest Outcomes Data". Afribary, Afribary, 07 Dec. 2021. Web. 24 May. 2022. < https://afribary.com/works/preprocessing-and-simulation-of-out-of-hospital-cardiac-arrest-outcomes-data >.
Jain, Gitesh . "Preprocessing and Simulation of Out of Hospital Cardiac Arrest Outcomes Data" Afribary (2021). Accessed May 24, 2022. https://afribary.com/works/preprocessing-and-simulation-of-out-of-hospital-cardiac-arrest-outcomes-data