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Akademický článek

Interpretability-based machine learning for predicting the risk of death from pulmonary inflammation in Chinese intensive care unit patients

Autor: Yihai Zhai, Danxiu Lan, Siying Lv, Liqin Mo

Publikováno v: Frontiers in Medicine, Vol 11 (2024)

ObjectiveThe objective of this research was to create a machine learning predictive model that could be easily interpreted in order to precisely determine the risk of premature death in patients receiving intensive care after pulmonary inflammation.M

Externí odkaz: https://doaj.org/article/e653b09d849d491d95a302b62310c9a6

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Akademický článek

Interpretable prediction of cardiopulmonary complications after non-small cell lung cancer surgery based on machine learning and SHapley additive exPlanations

Autor: Yihai Zhai, Xue Lin, Qiaolin Wei, Yuanjin Pu, Yonghui Pang

Publikováno v: Heliyon, Vol 9, Iss 7, Pp e17772- (2023)

Introduction: Lung cancer is a prevalent malignancy globally, with approximately 20% of patients developing cardiopulmonary complications after lobectomy. In order to prevent complications, an accurate and personalized method based on machine learnin

Externí odkaz: https://doaj.org/article/4e53881bef494da3b9cb0a48dd57b34c

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Periodical

Study Findings on Non-Small Cell Lung Cancer Described by Researchers at Guangxi Medical University Cancer Hospital (Interpretable prediction of cardiopulmonary complications after non-small cell lung cancer surgery based on machine learning...).

Publikováno v: Medical Devices & Surgical Technology Week; 7/30/2023, p907-907, 1p

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