Publications by authors named "Dahhay Lee"
Article Synopsis
- *The study analyzed electronic health records from over 1,200 EOC patients using DL survival networks, achieving notable accuracy with an area under the curve (AUROC) ranging from 0.95 to 0.98, compared to traditional models which scored between 0.85 to 0.90.
- *The findings suggest that incorporating dynamic clinical features and competing risks into predictive models significantly improves VTE risk predictions and allows for personalized assessments over time.*
Background: Selective diagnostic laparoscopy in gastric cancer patients at high risk of peritoneal metastasis is essential for optimal treatment planning. In this study available clinicopathologic factors predictive of peritoneal seeding in advanced gastric cancer (AGC) were identified, and this information was translated into a clinically useful tool.
Methods: Totally 2833 patients underwent surgery for AGC between 2003 and 2013.
Purpose: As the survival of head and neck cancer (HNC) improves, survivors increasingly confront non-cancer-related deaths. This nationwide population-based study aimed to investigate non-cancer-related deaths in HNC survivors.
Materials And Methods: Data from the Korean Central Cancer Registry were obtained to characterize causes of death, mortality patterns, and survival in patients with HNC between 2006 and 2016 (n=40,890).
Background/aims: Primary liver cancer is one of the leading causes of cancer mortality worldwide. However, the causes of death have not been studied in detail in patients with liver cancer.
Methods: The causes of death and cause-specific mortality risks in patients with primary liver cancer, diagnosed during 2000-2016, were investigated using the nationwide population-based cancer registry data in South Korea (n=231,388).
Objective: This nationwide cohort study aimed to evaluate the cause-specific mortality (probability of death by ovarian cancer, probability of death by other causes) under the competing risks of death in women with ovarian cancer.
Methods: The Korea Central Cancer Registry was searched to identify women with primary ovarian cancer diagnosed between 2006 and 2016. Epithelial ovarian cancer cases were identified using the International Classification of Diseases for Oncology 3rd edition.