Zobrazeno 1 - 10
of 86
pro vyhledávání: '"SHAP (Shapley Additive explanations)"'
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
BackgroundThe primary cause of death for children under the age of five is acute respiratory infections (ARI). Early predicting acute respiratory tract infections (ARI) and identifying their predictors using supervised machine learning algorithms is
Externí odkaz:
https://doaj.org/article/a31e70daa1f14d17bdcc4008ae418551
Autor:
D'Amore, Fabio Massimo a, Moscatelli, Marco b, Malvaso, Antonio c, D'Antonio, Fabrizia d, e, Rodini, Marta d, Panigutti, Massimiliano d, e, Mirino, Pierandrea a, f, Carlesimo, Giovanni Augusto d, g, Guariglia, Cecilia d, e, Caligiore, Daniele a, f, ⁎
Publikováno v:
In Journal of the Neurological Sciences 15 January 2025 468
Publikováno v:
Bioengineering, Vol 11, Iss 10, p 1016 (2024)
Ensemble Learning (EL) has been used for almost ten years to classify heart diseases, but it is still difficult to grasp how the “black boxes”, or non-interpretable models, behave inside. Predicting heart disease is crucial to healthcare, since i
Externí odkaz:
https://doaj.org/article/add4a20c88de4d2f871d6e0768213b22
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e28547- (2024)
This research project explored into the intricacies of road traffic accidents severity in the UK, employing a potent combination of machine learning algorithms, econometric techniques, and traditional statistical methods to analyse longitudinal histo
Externí odkaz:
https://doaj.org/article/85cb0e8b70674f60a3bbf7f3af81015f
Publikováno v:
Frontiers in Neurology, Vol 14 (2023)
ObjectiveSepsis-associated encephalopathy (SAE) is strongly linked to a high mortality risk, and frequently occurs in conjunction with the acute and late phases of sepsis. The objective of this study was to construct and verify a predictive model for
Externí odkaz:
https://doaj.org/article/610ac5f6b4b149de9534ccdf7de2ecf1
Autor:
Kai Wang, Qianmei Jiang, Murong Gao, Xiu’e Wei, Chan Xu, Chengliang Yin, Haiyan Liu, Renjun Gu, Haosheng Wang, Wenle Li, Liangqun Rong
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
ObjectiveAcute ischemic stroke (AIS) brings an increasingly heavier economic burden nowadays. Prolonged length of stay (LOS) is a vital factor in healthcare expenditures. The aim of this study was to predict prolonged LOS in AIS patients based on an
Externí odkaz:
https://doaj.org/article/2c9ed40df3a247518e8e04e91a142120
Akademický článek
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Autor:
Yan Chen, Lin Shou, Ying Xia, Yanju Deng, Qianguo Li, Zhishuang Huang, Youlan Li, Yanmei Li, Wenliang Cai, Yueshan Wang, Yingying Cheng, Hongzhuan Chen, Li Wan
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundGastric cancer with synchronous distant metastases indicates a dismal prognosis. The success in survival improvement mainly relies on our ability to predict the potential benefit of a therapy. Our objective is to develop an artificial intel
Externí odkaz:
https://doaj.org/article/d40e66ca915545c2b50775d3ef2ab05b
Akademický článek
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Autor:
Kan Wang, Li Zhao Yan, Wang Zi Li, Chen Jiang, Ni Ni Wang, Qiang Zheng, Nian Guo Dong, Jia Wei Shi
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
BackgroundPost-operative heart transplantation patients often require admission to an intensive care unit (ICU). Early prediction of the ICU length of stay (ICU-LOS) of these patients is of great significance and can guide treatment while reducing th
Externí odkaz:
https://doaj.org/article/f95543770b2d42219cf756dc9feb2485