Machine learning algorithms for integrating clinical features to predict intracranial hemorrhage in patients with acute leukemia-Reference-Cited by-同舟云学术

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Machine learning algorithms for integrating clinical features to predict intracranial hemorrhage in patients with acute leukemia

Published:2022-02-13 Issue: Volume: Page:1-10
ISSN:0020-7454
Container-title:International Journal of Neuroscience
language:en
Short-container-title:International Journal of Neuroscience

Author:

Chu Quanhong¹,Wei Wenxin¹,Lao Huan²³,Li Yujian¹,Tan Yafu¹,Wei Xiaoyong⁴,Huang Baozi¹,Qin Chao¹,Tang Yanyan¹

Affiliation:

1. Department of Neurology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China

2. Medical College of Guangxi University, Nanning, Guangxi, China

3. School of Computer, Electronics and Information, Guangxi University, Nanning, Guangxi, China

4. Department of Neurology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangxi Province

Publisher

Informa UK Limited

Subject

General Medicine,General Neuroscience

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207454.2022.2030327

Reference46 articles.

1. Intracranial hemorrhage in adult patients with hematological malignancies

2. Prediction of fatal intracranial hemorrhage in patients with acute myeloid leukemia

3. Prediction model for mortality after intracranial hemorrhage in patients with leukemia

4. Risk factors for intracranial hemorrhage in adults with acute leukemia

5. Symptomatic intracranial haemorrhage in acute nonlymphoblastic leukaemia: analysis of CT and autopsy findings

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