Exploratory Analysis of Disease Characteristics and Demographic Data of Neonatal Patients using MIMIC-IV Database

摘要

This paper is aimed at analyzing basic information of neonatal patients in the Medical Information Mart for Intensive Care - IV (MIMIC – IV) version 0.4 database and providing data reference for clinicians and researchers. Tableau 2020.1.0 and Google BIGQUERY were used for data analysis and extraction of disease distribution of neonatal patients in the MIMIC-IV database. A total of 61,630 neonatal patients were included in the MIMIC-IV database. Males count is 31,187, accounting for 51.2 percent and remaining females. Fundamentally, the database includes demographic, diagnostic, and laboratory tests-related information, and this paper deal with demographic and diagnostic information only. Out of which, stress is given on mortality rate to guide the neonatologists for its reduction by planning exact treatment. The total neonatal mortality rate was 0.35%, with an average hospital stay of 2 days. However, the highest non-survival rate is observed being among neonatal patients born before 24 weeks of completion of gestation as well as Neonatal jaundice associated with preterm delivery. Maximum neonates were admitted to the hospital for prophylactic (Immunization) vaccination and viral hepatitis inoculation. This analysis of the MIMIC-IV database will help researchers gain insights into the characteristics of neonatal diseases and their mortality rate.