Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Wenle Li"'
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
Autor:
Wenle Li, Xiaocun Lu, Jacob M. Diamond, Chengtian Shen, Bo Jiang, Shi Sun, Jeffrey S. Moore, Nancy R. Sottos
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract A method is developed for facile encapsulation of reactive organic bases with potential application for autonomous damage detection and self-healing polymers. Highly reactive chemicals such as bases and acids are challenging to encapsulate b
Externí odkaz:
https://doaj.org/article/17b09b649c5a4da3800ff538f3df718e
Autor:
Wenle Li, Yusi Zhang, Xin Zhou, Xubin Quan, Binghao Chen, Xuewen Hou, Qizhong Xu, Weiheng He, Liang Chen, Xiaozhu Liu, Yang Zhang, Tianyu Xiang, Runmin Li, Qiang Liu, Shi-Nan Wu, Kai Wang, Wencai Liu, Jialiang Zheng, Haopeng Luan, Xiaolin Yu, Anfa Chen, Chan Xu, Tongqing Luo, Zhaohui Hu
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-12 (2024)
Abstract Purpose This research aimed to develop a machine learning model to predict the potential risk of prolonged length of stay in hospital before operation, which can be used to strengthen patient management. Methods Patients who underwent poster
Externí odkaz:
https://doaj.org/article/e545bc2ec03d43d1bbcc0f3af9ff5c1c
Autor:
Wenle Li, Zhendong Ding, Liangqun Rong, Xiu'e Wei, Chenyu Sun, Scott Lowe, Muzi Meng, Chan Xu, Chengliang Yin, Haiyan Liu, Wencai Liu, Qian Zhou, Kai Wang
Publikováno v:
Heliyon, Vol 10, Iss 11, Pp e32176- (2024)
Objective: To develop and evaluate a nomogram prediction model for recurrence of acute ischemic stroke (AIS) within one year. Method: Patients with AIS treated at the second affiliated hospital of Xuzhou Medical University from August 2017 to July 20
Externí odkaz:
https://doaj.org/article/cd316f65583e4133a3203a06d059799b
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 14 (2024)
Externí odkaz:
https://doaj.org/article/74e4eccbe0684221bc7be32d8a744676
Autor:
Caixia Fang, Chan Xu, Xiaodong Jia, Xiaoping Li, Chengliang Yin, Xiaojuan Xing, Wenle Li, Zhenyun Wang
Publikováno v:
BMC Gastroenterology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Cholangiocarcinoma (CCA) is a highly malignant and easily metastatic bile duct tumor with poor prognosis. We aimed at studying the associated risk factors affecting distal metastasis of CCA and using nomogram to guide clinicians i
Externí odkaz:
https://doaj.org/article/fac6de337d554238a8b5a8aa77242f66
Autor:
Linghua Wu, Jing Zhang, Yilin Wang, Rong Ding, Yueqin Cao, Guiqin Liu, Changsheng Liufu, Baowei Xie, Shanping Kang, Rui Liu, Wenle Li, Furen Guan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Pneumonia is a highly lethal disease, and research on its treatment and early screening tools has received extensive attention from researchers. Due to the maturity and cost reduction of chest X-ray technology, and with the development of ar
Externí odkaz:
https://doaj.org/article/dc06489538ab447fa73f40750f71426b
Autor:
Chengliang Yin, Santosh Chokkakula, Jie Li, Wenle Li, Weiguang Yang, Siomui Chong, Wenzheng Zhou, Haiyang Wu, Chengbin Wang
Publikováno v:
Heliyon, Vol 10, Iss 6, Pp e27566- (2024)
Background: Osteosarcoma (OSA) is the most prevalent form of malignant bone tumor in children and adolescents, producing osteoid and immature bone. Numerous high quality studies have been published in the OSA field, however, no bibliometric study rel
Externí odkaz:
https://doaj.org/article/b206d10c1a4749dcac3d92f1339ba141
Autor:
Yewen Shi, Yitong Zhang, Zine Cao, Lina Ma, Yuqi Yuan, Xiaoxin Niu, Yonglong Su, Yushan Xie, Xi Chen, Liang Xing, Xinhong Hei, Haiqin Liu, Shinan Wu, Wenle Li, Xiaoyong Ren
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background Obstructive sleep apnea (OSA) is a globally prevalent disease with a complex diagnostic method. Severe OSA is associated with multi-system dysfunction. We aimed to develop an interpretable machine learning (ML) model for predictin
Externí odkaz:
https://doaj.org/article/2c70e932bea44923bbad9c6e7b440abe
Autor:
Kai Wang, Tao Hong, Wencai Liu, Chan Xu, Chengliang Yin, Haiyan Liu, Xiu’e Wei, Shi-Nan Wu, Wenle Li, Liangqun Rong
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Acute ischemic stroke (AIS) is a most prevalent cause of serious long-term disability worldwide. Accurate prediction of stroke prognosis is highly valuable for effective intervention and treatment. As such, the present retrospective study ai
Externí odkaz:
https://doaj.org/article/e4bd3603fcd54b098cc2c394580772d5