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ORIGINAL RESEARCH article

Front. Mol. Biosci., 08 March 2023

Sec. Molecular Diagnostics and Therapeutics

Volume 10 - 2023 | https://doi.org/10.3389/fmolb.2023.1136071

This article is part of the Research TopicVolume III - AI in Biological and Biomedical ImagingView all 4 articles

RETRACTED: Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction

Retracted

A retraction of this article was approved in:

  1. Retraction: Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction

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Ke Niu Ke Niu1*Ke ZhangKe Zhang1Xueping PengXueping Peng2Yijie Pan,Yijie Pan3,4Naian Xiao, Naian Xiao5,6*
  • 1Computer School, Beijing Information Science and Technology University, Beijing, China
  • 2Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, NSW, Australia
  • 3Department of Computer Science and Technology, Tsinghua University, Beijing, China
  • 4EIT Institute for Advanced Study, Ningbo, China
  • 5Department of Neurology, The Third Hospital of Xiamen, Xiamen, China
  • 6Department of Neurology and Geriatrics, Fujian Institute of Geriatrics, Fujian Medical University Union Hospital, Fuzhou, China

This article has been retracted. Please follow the link to the full retraction notice for details.

Citation: Niu K, Zhang K, Peng X, Pan Y and Xiao N (2023) Deep multi-modal intermediate fusion of clinical record and time series data in mortality prediction. Front. Mol. Biosci. 10:1136071. doi: 10.3389/fmolb.2023.1136071

Received: 02 January 2023; Accepted: 24 February 2023;
Published: 08 March 2023; Retracted: 13 June 2025.

Edited by:

Xin Gao, King Abdullah University of Science and Technology, Saudi Arabia

Reviewed by:

Xi Luo, First Affiliated Hospital of Xiamen University, China
Wenpeng Lu, Qilu University of Technology, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.