Statistical investigation on potential triggering factors of acute liver failure

Zishuo Ding; Yiwei Mai; Yimin Yuan

doi:10.1117/12.2628018

22 April 2022 Statistical investigation on potential triggering factors of acute liver failure

Zishuo Ding, Yiwei Mai, Yimin Yuan

Proceedings Volume 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021); 121630W (2022) https://doi.org/10.1117/12.2628018
Event: International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 2021, Nanjing, China

Abstract

Acute liver failure (ALF) is a rare but severe liver dysfunction that is deadly without immediate treatment. It can be associated with numerous living habits and diseases, such as drug abuse, overdose alcohol consumption, viral hepatitis, and diabetes. Most studies focus on a specific potential cause of ALF, while our study, by jointing these potential causes, investigates the risk of getting an ALF. By analyzing data, consisting of 8785 samples with measurements of physical condition, blood test, and diseases, retrieved from open source Kaggle.com, we conducted a logistic model to narrow down the related independent variables for dependent variable — getting an ALF. After analyzing the data, we managed to build a model using Dyslipidemia, poor vision, family diabetes, family hepatitis and hepatitis to predict the risk of getting an ALF. Having symptoms of such five variables would increase the risk of getting acute liver failure.

Citation Download Citation

Zishuo Ding, Yiwei Mai, and Yimin Yuan "Statistical investigation on potential triggering factors of acute liver failure", Proc. SPIE 12163, International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021), 121630W (22 April 2022); https://doi.org/10.1117/12.2628018

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