Comment on Uzun Ozsahin et al. COVID-19 Prediction Using Black-Box Based Pearson Correlation Approach. Diagnostics 2023, 13, 1264.

IF 3 3区医学 Q1 MEDICINE, GENERAL & INTERNAL

Diagnostics Pub Date : 2024-11-12 DOI:10.3390/diagnostics14222528

Manuel Graña, Goizalde Badiola-Zabala, Guillermo Cano-Escalera

引用次数: 0

Abstract

The declaration of the COVID-19 pandemic by the World Health Organization (WHO) in March 2020 has triggered the publication of thousands of papers covering a plethora of aspects of the pandemic, from epidemiology models [...].

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对 Uzun Ozsahin 等人 "使用基于黑盒的皮尔逊相关性方法进行 COVID-19 预测 "的评论。Diagnostics 2023, 13, 1264.

世界卫生组织（WHO）于 2020 年 3 月宣布 COVID-19 大流行后，发表了数千篇论文，内容涉及该大流行病的各个方面，包括流行病学模型[......]。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Diagnostics Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry

CiteScore

4.70

自引率

8.30%

发文量

2699

审稿时长

19.64 days

期刊介绍： Diagnostics (ISSN 2075-4418) is an international scholarly open access journal on medical diagnostics. It publishes original research articles, reviews, communications and short notes on the research and development of medical diagnostics. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodological details must be provided for research articles.