Corrigendum to “Artificial intelligence-driven predictive framework for early detection of still birth” [SLAS Technology Volume 29, Issue 6, 100203, December 2024]

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology Pub Date : 2024-12-30 DOI:10.1016/j.slast.2024.100236

Sarah A. Alzakari , Asma Aldrees , Muhammad Umer , Lucia Cascone , Nisreen Innab , Imran Ashraf

引用次数: 0

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“人工智能驱动的死产早期检测预测框架”的勘误表[SLAS技术第29卷，第6期，100203,2024年12月]。

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

SLAS Technology Computer Science-Computer Science Applications

CiteScore

6.30

自引率

7.40%

发文量

审稿时长

106 days

期刊介绍： SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.