Výsledky vyhledávání - "web calculator"

Akademický článek

Predicting osteoporotic fractures post-vertebroplasty: a machine learning approach with a web-based calculator

Autor: Sanying Cai, Wencai Liu, Xintian Cai, Chan Xu, Zhaohui Hu, Xubin Quan, Yizhuo Deng, Hongjie Yao, Binghao Chen, Wenle Li, Chengliang Yin, Qingshan Xu

Publikováno v: BMC Surgery, Vol 24, Iss 1, Pp 1-13 (2024)

Abstract Purpose The aim of this study was to develop and validate a machine learning (ML) model for predicting the risk of new osteoporotic vertebral compression fracture (OVCF) in patients who underwent percutaneous vertebroplasty (PVP) and to crea

Externí odkaz: https://doaj.org/article/ac827a875a4d47a9bdbfafd05d8c8de1

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Akademický článek

Interpretable machine learning-based clinical prediction model for predicting lymph node metastasis in patients with intrahepatic cholangiocarcinoma

Autor: Hui Xie, Tao Hong, Wencai Liu, Xiaodong Jia, Le Wang, Huan Zhang, Chan Xu, Xiaoke Zhang, Wen-Le Li, Quan Wang, Chengliang Yin, Xu Lv

Publikováno v: BMC Gastroenterology, Vol 24, Iss 1, Pp 1-10 (2024)

Abstract Objective Prediction of lymph node metastasis (LNM) for intrahepatic cholangiocarcinoma (ICC) is critical for the treatment regimen and prognosis. We aim to develop and validate machine learning (ML)-based predictive models for LNM in patien

Externí odkaz: https://doaj.org/article/4fa7250ee8d84eb18a783922ea6f6c3e

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Akademický článek

Synthetic minority over-sampling technique-enhanced machine learning models for predicting recurrence of postoperative chronic subdural hematoma

Autor: Zhihui Ni, Yehao Zhu, Yiwei Qian, Xinbo Li, Zhenqiu Xing, Yinan Zhou, Yu Chen, Lijie Huang, Jianjing Yang, Qichuan Zhuge

Publikováno v: Frontiers in Neurology, Vol 15 (2024)

ObjectiveChronic subdural hematoma (CSDH) is a neurological condition with high recurrence rates, primarily observed in the elderly population. Although several risk factors have been identified, predicting CSDH recurrence remains a challenge. Given

Externí odkaz: https://doaj.org/article/0e63d041e512470d9f033c404fb80a23

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Akademický článek

Development and validation of web calculators to predict early recurrence and long-term survival in patients with duodenal papilla carcinoma after pancreaticoduodenectomy

Autor: Guangsheng Yu, Shuai Xu, Junjie Kong, Jingyi He, Jun Liu

Publikováno v: BMC Cancer, Vol 23, Iss 1, Pp 1-12 (2023)

Abstract Background Duodenal papilla carcinoma (DPC) is prone to relapse even after radical pancreaticoduodenectomy (PD) (including robotic, laparoscopic and open approach). This study aimed to develop web calculators to predict early recurrence (ER)

Externí odkaz: https://doaj.org/article/d05fec92eb5e4a19bd497f2ba91182d7

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Akademický článek

A novel explainable online calculator for contrast-induced AKI in diabetics: a multi-centre validation and prospective evaluation study

Autor: Mengqing Ma, Xin Wan, Yuyang Chen, Zhichao Lu, Danning Guo, Huiping Kong, Binbin Pan, Hao Zhang, Dawei Chen, Dongxu Xu, Dong Sun, Hong Lang, Changgao Zhou, Tao Li, Changchun Cao

Publikováno v: Journal of Translational Medicine, Vol 21, Iss 1, Pp 1-18 (2023)

Abstract Background In patients undergoing percutaneous coronary intervention (PCI), contrast-induced acute kidney injury (CIAKI) is a frequent complication, especially in diabetics, and is connected with severe mortality and morbidity in the short a

Externí odkaz: https://doaj.org/article/a80ebe783ca74f8e90f534c12f7a7154

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Akademický článek

Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study

Autor: Longyuan Gu, Hongwei Hu, Shinan Wu, Fengda Li, Zeyi Li, Yaodong Xiao, Chuanqing Li, Hui Zhang, Qiang Wang, Wenle Li, Yuechao Fan

Publikováno v: Heliyon, Vol 10, Iss 1, Pp e23943- (2024)

Non-traumatic subarachnoid hemorrhage (SAH) is a critical neurosurgical emergency with a high mortality rate, imposing a significant burden on both society and families. Accurate prediction of the risk of death within 7 days in SAH patients can provi

Externí odkaz: https://doaj.org/article/19c3fb26017a48598a6b2620237fc916

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Akademický článek

A machine learning-based model for predicting distant metastasis in patients with rectal cancer

Autor: Binxu Qiu, Zixiong Shen, Song Wu, Xinxin Qin, Dongliang Yang, Quan Wang

Publikováno v: Frontiers in Oncology, Vol 13 (2023)

BackgroundDistant metastasis from rectal cancer usually results in poorer survival and quality of life, so early identification of patients at high risk of distant metastasis from rectal cancer is essential.MethodThe study used eight machine-learning

Externí odkaz: https://doaj.org/article/8f06b1a8a79341dc9a18d5c1b8cf009f

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