Identifikasi Faktor Penyebab Kematian Pasien Coronavirus Disease 19 (Covid-19) Menggunakan Algoritma di Rumah Sakit RSUD dr. Soedarso Pontianak Tahun 2023

The Identification Of Causes Of Death In Coronavirus Disease 19 (Covid-19) Patients Using Algorithm at RSUD dr. Soedarso Pontianak in 2023

Abstract

Introduction: Indonesia is one of the countries significantly affected by the spread of the Covid-19 virus. Despite significant efforts, the challenges of dealing with Covid-19 in Indonesia persist. In West Kalimantan Province, there have been 67,518 Covid-19 cases with 1,147 (1.7%) fatalities, and RSUD dr. Soedarso alone has recorded 2,884 cases with 749 (25.97%) deaths. This study aims to identify the severity of comorbidities in patients, categorized as mild, moderate, and severe. It determines the comorbidities and factors contributing to Covid-19 deaths at RSUD dr. Soedarso, as well as the variables or classifications of comorbidities that cause Covid-19 patient deaths.

Methods: The study adopts an observational analytical approach using a case-control method. Secondary data from 2,884 patient records were collected and processed using Rapid Miner

Results: The study successfully identifies the factors contributing to COVID-19 deaths in patients with comorbidities. The Neural Network and Decision Tree algorithms yield good classification results and demonstrate high accuracy in detecting the factors causing deaths. Clustering results assist in grouping the factors contributing to deaths based on their risk levels

Discussion: Recommendations for hospitals, universities, and students include continuously improving the understanding of COVID-19 patient risks, inspiring further research, developing research skills, and enhancing patient education regarding comorbid conditions