Predictive prognostic factors for stroke mortality in Thailand

Abstract

Stroke is the second leading cause of death worldwide and a significant public health concern in Thailand. This article presents predictive factors for in-hospital stroke mortality, utilizing data mining techniques from the Neurological Institute of Thailand's stroke database. Initially, 41 predictive variables were considered. However, after employing the CFS Subset Evaluator method for variable selection, five key predictive variables emerged: age, first diagnosis (IH, SH), the need for ventilator support, inability to receive a rehabilitation assessment, and the occurrence of pressure sores. Using these selected predictive variables, a classification model was created. The top three classifiers, with the highest F-Measure value of 0.971, were Naïve Bayes, Naïve Bayes Updateable, and Bayesian Network. The knowledge gained from this analysis can be valuable in enhancing the care provided to stroke patients and predicting high-risk stroke-related mortality.

References

World Bank. "World Development Indicators." World Bank. [Online]. Available: http://wdi.worldbank.org/ table/2.1. Accessed: April 28, 2021.

World Health Organization (WHO)."The top 10 causes of death." WHO. [Online]. Available: https://www. who.int/en/news-room/fact-sheets/detail/the-top-10- causes-of-death. Accessed: April, 2021.

Strategy and Planning Division Ministry of Public Health, "Public Health Statistics A.D. 2019," Nonthaburi, 2020.

"Overview of Ischemic Stroke Prognosis in Adults - UpToDate," UpToDate, https://www.uptodate.com/ contents/overview-of-ischemic-stroke-prognosis-inadults. Accessed: Sep. 12, 2023.

P.-N. Tan, M. Steinbach, and V. Kumar, "Introduction to Data Mining," Addison-Wesley, 2005.

Wikipedia Contributors, “Bayes’ theorem,” Wikipedia, Sep.21,2023.https://en.wikipedia.org/wiki/Bayes%27_ theorem (accessed Sep. 22, 2023).

M. Kantardzic, "Data Mining: Concepts, Models, Methods, and Algorithms," 2nd ed. Wiley, 2011.

S. Ray,“Naive Bayes Classifier Explained: Applications and Practice Problems of Naive Bayes Classifier,” Analytics Vidhya, Sep. 11, 2017. https://www. analyticsvidhya.com/blog/2017/09/naive-bayesexplained/ (accessed Sep. 19, 2023).

Wikipedia Contributors, “Naive Bayes classifier,” Wikipedia, Sep. 03, 2023. https://en.wikipedia.org/ wiki/Naive_Bayes_classifier (accessed Sep. 19, 2023).