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本文引用的文献

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A conditional inference tree model for predicting cancer risk of non-mass lesions detected on breast ultrasound.一种用于预测乳腺超声检测到的非肿块性病变癌症风险的条件推理树模型。
Eur Radiol. 2024 Jul;34(7):4776-4788. doi: 10.1007/s00330-023-10504-7. Epub 2023 Dec 22.
2
Postsurgical functional outcome prediction model using deep learning framework (Prediction One, Sony Network Communications Inc.) for hypertensive intracerebral hemorrhage.使用深度学习框架（预测一号，索尼网络通信公司）的高血压脑出血术后功能结局预测模型。
Surg Neurol Int. 2021 May 3;12:203. doi: 10.25259/SNI_222_2021. eCollection 2021.
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Deep learning for automatically predicting early haematoma expansion in Chinese patients.
深度学习自动预测中国患者早期血肿扩大
Stroke Vasc Neurol. 2021 Dec;6(4):610-614. doi: 10.1136/svn-2020-000647. Epub 2021 Feb 1.
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Noncontrast CT markers of intracerebral hemorrhage expansion and poor outcome: A meta-analysis.非对比 CT 标志物与脑出血扩展及不良预后的关系：一项荟萃分析。
Neurology. 2020 Oct 6;95(14):632-643. doi: 10.1212/WNL.0000000000010660. Epub 2020 Aug 26.
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Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine Learning.利用机器学习识别脑出血患者预后的可调节预测因素。
Neurocrit Care. 2021 Feb;34(1):73-84. doi: 10.1007/s12028-020-00982-8.
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Automatic Machine-Learning-Based Outcome Prediction in Patients With Primary Intracerebral Hemorrhage.基于自动机器学习的原发性脑出血患者预后预测
Front Neurol. 2019 Aug 21;10:910. doi: 10.3389/fneur.2019.00910. eCollection 2019.
7
Clinical and Radiographic Predictors of Intracerebral Hemorrhage Outcome.脑出血预后的临床及影像学预测因素
Interv Neurol. 2018 Feb;7(1-2):118-136. doi: 10.1159/000484571. Epub 2018 Jan 12.
8
Predictors of 30-day mortality in patients with spontaneous primary intracerebral hemorrhage.自发性原发性脑出血患者30天死亡率的预测因素。
Surg Neurol Int. 2016 Aug 1;7(Suppl 18):S510-7. doi: 10.4103/2152-7806.187493. eCollection 2016.
9
Prospective validation of the ICH Score for 12-month functional outcome.ICH评分对12个月功能结局的前瞻性验证。
Neurology. 2009 Oct 6;73(14):1088-94. doi: 10.1212/WNL.0b013e3181b8b332. Epub 2009 Sep 2.

Brain is also time: good short-term outcome predictions of artificial intelligence in spontaneous intracerebral hemorrhage pave the way for the long-term assessment.

作者信息

Liao Chun-Han, Liu Yi-Jui

机构信息

Ph.D. Program in Electrical and Communication Engineering, Feng Chia University, Taichung, Taiwan, Republic of China.

Division of Medical Imaging, Yuanlin Christian Hospital, Changhua, Taiwan, Republic of China.

出版信息

Eur Radiol. 2024 Jul;34(7):4414-4416. doi: 10.1007/s00330-024-10665-z. Epub 2024 Feb 23.

DOI:10.1007/s00330-024-10665-z
PMID:38396249
Abstract
摘要