Zobrazeno 1 - 4 of 4 pro vyhledávání: '"Lingmin Gong"'
1
Akademický článek
Designing machine learning for big data: A study to identify factors that increase the risk of ischemic stroke and prognosis in hypertensive patients
Autor: Lingmin Gong, Shiyu Chen, Yuhui Yang, Weiwei Hu, Jiaxin Cai, Sitong Liu, Yaling Zhao, Leilei Pei, Jiaojiao Ma, Fangyao Chen
Publikováno v: Digital Health, Vol 10 (2024)
Background Ischemic stroke (IS) accounts large amount of stroke incidence. The aim of this study was to discover the risk and prognostic factors that affecting the occurrence of IS in hypertensive patients. Method Study data were obtained from the Me
Externí odkaz: https://doaj.org/article/eeb2107fcebf4b79834272ce9190bfce
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2
Akademický článek
Explainable Machine Learning with Pairwise Interactions for Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Utilizing Multi-Modalities Data
Autor: Jiaxin Cai, Weiwei Hu, Jiaojiao Ma, Aima Si, Shiyu Chen, Lingmin Gong, Yong Zhang, Hong Yan, Fangyao Chen, for the Alzheimer’s Disease Neuroimaging Initiative
Publikováno v: Brain Sciences, Vol 13, Iss 11, p 1535 (2023)
Background: Predicting cognition decline in patients with mild cognitive impairment (MCI) is crucial for identifying high-risk individuals and implementing effective management. To improve predicting MCI-to-AD conversion, it is necessary to consider
Externí odkaz: https://doaj.org/article/e1f06986971d4b8786f14b24c4abdb97
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3
Predicting Six-Month Re-Admission Risk in Heart Failure Patients Using Multiple Machine Learning Methods: A Study Based on the Chinese Heart Failure Population Database
Autor: Shiyu Chen, Weiwei Hu, Yuhui Yang, Jiaxin Cai, Yaqi Luo, Lingmin Gong, Yemian Li, Aima Si, Yuxiang Zhang, Sitong Liu, Baibing Mi, Leilei Pei, Yaling Zhao, Fangyao Chen
Publikováno v: Journal of Clinical Medicine
Volume 12
Issue 3
Pages: 870
Since most patients with heart failure are re-admitted to the hospital, accurately identifying the risk of re-admission of patients with heart failure is important for clinical decision making and management. This study plans to develop an interpreta
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::764dc9ff0c6b6ef1fa76a3556299069e
https://doi.org/10.3390/jcm12030870
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