Zobrazeno 1 - 10
of 118
pro vyhledávání: '"DeepSurv"'
Autor:
Yu Guo, Fang Yu, Fang-Fang Jiang, Sun-Jun Yin, Meng-Han Jiang, Ya-Jia Li, Hai-Ying Yang, Li-Rong Chen, Wen-Ke Cai, Gong-Hao He
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Background Severe heart failure (HF) has a higher mortality during vulnerable period while targeted predictive tools, especially based on drug exposures, to accurately assess its prognoses remain largely unexplored. Therefore, this study aim
Externí odkaz:
https://doaj.org/article/6341b268e25a4dda8ad16fca43f31f08
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Medulloblastoma is a malignant neuroepithelial tumor of the central nervous system. Accurate prediction of prognosis is essential for therapeutic decisions in medulloblastoma patients. We analyzed data from 2,322 medulloblastoma patients usi
Externí odkaz:
https://doaj.org/article/7c8fb66b5ae34c85b9d2c9ed4d04043f
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundPrognostic prediction for surgical treatment of gastric cancer remains valuable in clinical practice. This study aimed to develop survival models for postoperative gastric cancer patients.MethodsEleven thousand seventy-five patients from th
Externí odkaz:
https://doaj.org/article/37c0f051f45c40d8a5fe2e20e37f607a
Autor:
Jinrong Zhang, Hai Yu, Xinkai Zheng, Wai-kit Ming, Yau Sun Lak, Kong Ching Tom, Alice Lee, Hui Huang, Wenhui Chen, Jun Lyu, Liehua Deng
Publikováno v:
Discover Oncology, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Background For the purpose to examine lower limb melanoma (LLM) and its long-term survival rate, we used data from the Surveillance, Epidemiology and End Results (SEER) database. To estimate the prognosis of LLM patients and assess its effic
Externí odkaz:
https://doaj.org/article/9f14d703d0104687bf7a95e341276552
Publikováno v:
Cancer Medicine, Vol 12, Iss 18, Pp 19272-19278 (2023)
Abstract Background The curative treatment for Stage I non‐small cell lung cancer (NSCLC) is surgical resection. Even for Stage I patients, the probability of recurrence after curative treatment is around 20%. Methods In this retrospective study, w
Externí odkaz:
https://doaj.org/article/a8360b9ee87b4d72998265667d26bc4d
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 18, Iss 1, Pp 1-16 (2023)
Abstract Objective The goal of this study was to evaluate the efficacy of machine learning (ML) techniques in predicting survival for chordoma patients in comparison with the standard Cox proportional hazards (CoxPH) model. Methods Using a Surveillan
Externí odkaz:
https://doaj.org/article/5f272baddb6a4c4fb8066f0700f57964
Publikováno v:
Cancer Medicine, Vol 12, Iss 11, Pp 12413-12424 (2023)
Abstract Background The study aims to evaluate the performance of three advanced machine learning algorithms and a traditional Cox proportional hazard (CoxPH) model in predicting the overall survival (OS) of patients with pancreatic neuroendocrine ne
Externí odkaz:
https://doaj.org/article/f3fe14833af643b080944f69b0f73dd7
Autor:
Liping Luo, Yubo Tan, Shixuan Zhao, Man Yang, Yurou Che, Kezhen Li, Jieke Liu, Huaichao Luo, Wenjun Jiang, Yongjie Li, Weidong Wang
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background Numerous studies have demonstrated that the high-order features (HOFs) of blood test data can be used to predict the prognosis of patients with different types of cancer. Although the majority of blood HOFs can be divided into inf
Externí odkaz:
https://doaj.org/article/1428c7d37b4e444982fd5528bb728f58
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Akademický článek
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