Survival Factors Analysis of Out-of-Hospital Cardiac Arrest Patients via Effective Data Cleaning Techniques and Explainable Machine Learning

Zi Yi Lu, Hsun Ping Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this study is to explore the key survival factors of OHCA (Out-of-Hospital Cardiac Arrest) non-trauma cases through data science methods and machine learning technology. It is expected to provide directions for improvements in first aid procedures and policy advocacy to increase the survival rate of OHCA cases. This study explores the latest data of OHCA cases in Tainan City, Taiwan. To deal with the issue of data mess in the majority category, a suitable data cleaning method is proposed to ensure the rationality of the cleaned data. In addition, due to the insufficient amount of data and extremely imbalanced data, the oversampling technique is used to generate data in the minority category to balance the dataset. Next, a machine learning model is adopted to predict whether OHCA non-trauma patients eventually survive. Finally, SHAP (SHapley Additive exPlanation) is applied to conduct a comprehensive analysis and interpretation of the model training results to gain new insights into the key survival factors.

Original languageEnglish
Title of host publicationTechnologies and Applications of Artificial Intelligence - 28th International Conference, TAAI 2023, Proceedings
EditorsChao-Yang Lee, Chun-Li Lin, Hsuan-Ting Chang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages116-130
Number of pages15
ISBN (Print)9789819717132
DOIs
Publication statusPublished - 2024
Event28th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2023 - Yunlin, Taiwan
Duration: 2023 Dec 12023 Dec 2

Publication series

NameCommunications in Computer and Information Science
Volume2075 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference28th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2023
Country/TerritoryTaiwan
CityYunlin
Period23-12-0123-12-02

All Science Journal Classification (ASJC) codes

  • General Computer Science
  • General Mathematics

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