Zobrazeno 1 - 10
of 18 570
pro vyhledávání: '"Predictive Model"'
Publikováno v:
foresight, 2024, Vol. 26, Issue 5, pp. 775-792.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/FS-08-2023-0163
Autor:
Suresh, Pratheek, Chakravarthy, Balaji
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow, 2024, Vol. 34, Issue 8, pp. 2917-2942.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/HFF-08-2023-0468
Publikováno v:
International Journal of COPD, Vol Volume 19, Pp 2457-2466 (2024)
Wenjun Chang,1 Zheng Li,2 Qianqian Liang,1 Wei Zhao,1 Fengsen Li2 1Department of Fourth Clinical College, Xinjiang Medical University, Urumqi, 830054, People’s Republic of China; 2Department of Respiratory, Unit Xinjiang Uygur Autonomous Region Hos
Externí odkaz:
https://doaj.org/article/cb25a09a96aa4be7915d51b292365931
Autor:
Xiaozhu Liu, Zulong Xie, Yang Zhang, Jian Huang, Lirong Kuang, Xiujuan Li, Huan Li, Yuxin Zou, Tianyu Xiang, Niying Yin, Xiaoqian Zhou, Jie Yu
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-13 (2024)
Abstract Background Heart failure combined with hypertension is a major contributor for elderly patients (≥ 65 years) to in-hospital mortality. However, there are very few models to predict in-hospital mortality in such elderly patients. We aimed t
Externí odkaz:
https://doaj.org/article/c736b33a69594af5bddaa56a90bcf47a
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-19 (2024)
Abstract Background This study aimed to predict metastasis risk and identify prognostic factors of gastrointestinal signet ring cell carcinoma (SRCC) using data from the SEER database, the largest cancer dataset in North America. Methods Data were ob
Externí odkaz:
https://doaj.org/article/5025bc5416584810b6367b11ef1b10ad
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract This study aimed to develop and validate a novel nomogram to predict the risk of non-infectious fever (NIF) in patients following laparoscopic myomectomy. A retrospective analysis was conducted on data from patients who underwent laparoscopi
Externí odkaz:
https://doaj.org/article/a9343a6f79fe4279867d64e894d07449
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Objective: The objective was to establish a machine learning-based model for predicting the occurrence and mortality of nonpulmonary sepsis-associated ARDS. Methods: 80% of sepsis patients selected randomly from the MIMIC-IV database, withou
Externí odkaz:
https://doaj.org/article/a793aa0fde9b4f26996cf978be13ff73
Autor:
Xiangyu Sun, Sirui Li, Chao Ma, Wei Fang, Xin Jing, Chao Yang, Huan Li, Xu Zhang, Chuanbin Ge, Bo Liu, Zhiqiang Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Comprehensive and non-invasive preoperative molecular diagnosis is important for prognostic and therapy decision-making in adult-type diffuse gliomas. We employed a deep learning method for automatic segmentation of brain gliomas directly fr
Externí odkaz:
https://doaj.org/article/8f6b337dba73473595d14e8d7fb7a160
Autor:
Yuqi Tang, Sixian Hu, Yipeng Xu, Linjia Wang, Yu Fang, Pei Yu, Yaning Liu, Jiangwei Shi, Junwen Guan, Ling Zhao
Publikováno v:
Chinese Medicine, Vol 19, Iss 1, Pp 1-13 (2024)
Abstract Background and objectives This study aimed to employ machine learning techniques to predict the clinical efficacy of acupuncture as an intervention for patients with upper limb motor dysfunction following ischemic stroke, as well as to asses
Externí odkaz:
https://doaj.org/article/503e5e91b9f84ee98d16f052fa406036