Risk Prediction of Cardioembolic Stroke using Clinical Data and Non-contrast CT-Reference-Cited by-同舟云学术

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Risk Prediction of Cardioembolic Stroke using Clinical Data and Non-contrast CT

Published:2023-07-02 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Statistical Signal Processing Workshop (SSP)
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Author:

Jakkrawankul Pasit¹,Chunharas Chaipat²,Akarathanawat Wasan³,Vorasayan Pongpat³,Chunamchai Sedthapong²,Pratanwanich Ploy N.⁴,Punyabukkana Proadpran¹,Chuangsuwanich Ekapol¹

Affiliation:

1. Engineering Chulalongkorn University,Department of Computer,Bangkok,Thailand

2. Chulalongkorn University,Department of Internal Medicine,Bangkok,Thailand

3. Chulalongkorn University,Department of Medicine,Bangkok,Thailand

4. Chulalongkorn University,Department of Mathematics and Computer Science,Bangkok,Thailand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10207925/10207926/10207950.pdf?arnumber=10207950

Reference22 articles.

1. Deep multi-modal fusion of image and non-image data in disease diagnosis and prognosis: A review;cui,2022

2. Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

3. Cardioembolic Stroke: Clinical Features, Specific Cardiac Disorders and Prognosis

4. Improved image classification explainability with high-accuracy heatmaps

5. Pytorch: An imperative style, high-performance deep learning library;paszke;Advances in neural information processing systems,2019

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