Open AccessTree-Based Algorithms and Association Rule Mining for Predicting Patients’ Neurological Outcomes After First-Aid Treatment for an Out-of-Hospital Cardiac Arrest During COVID-19 Pandemic: Application of Data Mining
Author(s) -
Wei Chun Lin,
Chia-Jung Huang,
Liang-Tien Chien,
HsiaoJung Tseng,
ChipJin Ng,
KuangHung Hsu,
Lin Cc,
ChengYu Chien
Publication year - 2022
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s384959
Subject(s) - medicine , random forest , decision tree , machine learning , association rule learning , retrospective cohort study , artificial intelligence , outcome (game theory) , data mining , emergency medicine , algorithm , computer science , mathematics , mathematical economics
The authors performed several tree-based algorithms and an association rules mining as data mining tools to find useful determinants for neurological outcomes in out-of-hospital cardiac arrest (OHCA) patients as well as to assess the effect of the first-aid and basic characteristics in the EMS system.