Publications by authors named "Shih-Hsien Tseng"
Article Synopsis
- Comorbidities, like diabetes and liver disease, significantly affect lung cancer prognosis, necessitating a reliable prediction model for patient survival.
- Researchers developed a conditional Gaussian Bayesian network (CGBN) model that analyzes survival time based on various comorbidities and treatments, using data from lung cancer patients in Taiwan.
- The CGBN model outperformed existing methods in accuracy and provides valuable insights into the relationships between different influencing factors and lung cancer outcomes.
Aim: Chronic diseases are influential components of stroke, one of the dominant reasons for dementia and premature mortality. Environmental risks are risk factors for transitioning from stroke to dementia. This study addresses the transition behaviors in stroke and dementia development associated with chronic diseases and environmental risks.
View Article and Find Full Text PDFThe lung cancer threat has become a critical issue for public health. Research has been devoted to its clinical study but only a few studies have addressed the issue from a holistic perspective that included social, economic, and environmental dimensions. Therefore, in this study, risk factors or features, such as air pollution, tobacco use, socioeconomic status, employment status, marital status, and environment, were comprehensively considered when constructing a predictive model.
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