Comment and Update on “Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management”-Reference-Cited by-同舟云学术

Comment and Update on “Using Artificial Intelligence to Manage Thrombosis Research, Diagnosis, and Clinical Management”

Published:2021-02 Issue:01 Volume:47 Page:112-114
ISSN:0094-6176
Container-title:Seminars in Thrombosis and Hemostasis
language:en
Short-container-title:Semin Thromb Hemost

Author:

Martins Tiago Dias¹²,Filho Rubens Maciel¹,Romano Anna Virginia Calazans²,Annichino-Bizzacchi Joyce Maria³

Affiliation:

1. School of Chemical Engineering, Laboratory of Optimization, Design, and Advanced Control, University of Campinas, Campinas, São Paulo, Brazil

2. Departamento de Engenharia Química, Instituto de Ciências Ambientais, Químicas e Farmacêuticas, Universidade Federal de São Paulo, Diadema, São Paulo, Brazil

3. Hematology and Hemotherapy Center, University of Campinas/Hemocentro-Unicamp, Instituto Nacional de Ciência e Tecnologia do Sangue, Campinas, São Paulo, Brazil

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Georg Thieme Verlag KG

Subject

Cardiology and Cardiovascular Medicine,Hematology

Link

http://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0040-1721754.pdf

Reference16 articles.

1. Using artificial intelligence to manage thrombosis research, diagnosis, and clinical management;A Mishra;Semin Thromb Hemost,2020

2. Artificial neural network for prediction of venous thrombosis recurrence;A VC Romano;Blood,2016

3. Principal component analysis on recurrent venous thromboembolism;T D Martins;Clin Appl Thromb Hemost,2019

4. Artificial neural networks for prediction of recurrent venous thromboembolism;T D Martins;Int J Med Inform,2020

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1. Editorial Compilation IX;Seminars in Thrombosis and Hemostasis;2021-02