Literature DB >> 32175361

Predictive analytics in the era of big data: opportunities and challenges.

Zhongheng Zhang1.   

Abstract

Year:  2020        PMID： 32175361      PMCID： PMC7049053          DOI： 10.21037/atm.2019.10.97

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN： 2305-5839


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  5 in total

1.  A Machine Learning Approach for the Prediction of Severe Acute Kidney Injury Following Traumatic Brain Injury.

Authors:  Chi Peng; Fan Yang; Lulu Li; Liwei Peng; Jian Yu; Peng Wang; Zhichao Jin
Journal:  Neurocrit Care       Date:  2022-10-04       Impact factor: 3.532

2.  A Machine-Learning Approach for Dynamic Prediction of Sepsis-Induced Coagulopathy in Critically Ill Patients With Sepsis.

Authors:  Qin-Yu Zhao; Le-Ping Liu; Jing-Chao Luo; Yan-Wei Luo; Huan Wang; Yi-Jie Zhang; Rong Gui; Guo-Wei Tu; Zhe Luo
Journal:  Front Med (Lausanne)       Date:  2021-01-21

3.  Characterizing Risk of In-Hospital Mortality Following Subarachnoid Hemorrhage Using Machine Learning: A Retrospective Study.

Authors:  Jiewen Deng; Zhaohui He
Journal:  Front Surg       Date:  2022-06-08

4.  Construction of a novel mRNA-signature prediction model for prognosis of bladder cancer based on a statistical analysis.

Authors:  Jianpeng Li; Jinlong Cao; Pan Li; Zhiqiang Yao; Ran Deng; Lijun Ying; Junqiang Tian
Journal:  BMC Cancer       Date:  2021-07-27       Impact factor: 4.430

5.  A Machine Learning Approach for the Prediction of Traumatic Brain Injury Induced Coagulopathy.

Authors:  Fan Yang; Chi Peng; Liwei Peng; Jian Wang; Yuejun Li; Weixin Li
Journal:  Front Med (Lausanne)       Date:  2021-12-10
  5 in total

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