Suppr超能文献

更正:通过机器学习为住院的新冠肺炎患者开发疾病严重程度评分和分类模型。

Correction: Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients.

作者信息

Marcos Miguel, Belhassen-García Moncef, Sánchez-Puente Antonio, Sampedro-Gomez Jesús, Azibeiro Raúl, Dorado-Díaz Pedro-Ignacio, Marcano-Millán Edgar, García-Vidal Carolina, Moreiro-Barroso María-Teresa, Cubino-Bóveda Noelia, Pérez-García María-Luisa, Rodríguez-Alonso Beatriz, Encinas-Sánchez Daniel, Peña-Balbuena Sonia, Sobejano-Fuertes Eduardo, Inés Sandra, Carbonell Cristina, López-Parra Miriam, Andrade-Meira Fernanda, López-Bernús Amparo, Lorenzo Catalina, Carpio Adela, Polo-San-Ricardo David, Sánchez-Hernández Miguel-Vicente, Borrás Rafael, Sagredo-Meneses Víctor, Sanchez Pedro-Luis, Soriano Alex, Martín-Oterino José-Ángel

出版信息

PLoS One. 2024 Dec 5;19(12):e0315526. doi: 10.1371/journal.pone.0315526. eCollection 2024.

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0240200.].

摘要

[本文更正了文章的数字对象标识符:10.1371/journal.pone.0240200。]

相似文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验