Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88952, first published .
Correction: A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study

Correction: A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study

Correction: A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study

Corrigenda and Addenda

1Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China

2Guangzhou AI & Data Cloud Technology Co., LTD, Guangzhou, China

Corresponding Author:

Chaojin Chen, MD, PhD

Department of Anesthesiology

The Third Affiliated Hospital of Sun Yat-sen University

Guangzhou, Guangdong

China

Phone: 86 13430322182

Email: chenchj28@mail.sysu.edu.cn



In “A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care IV Database: Retrospective Study” [1], the authors made three corrections.

The footnotes of Table 1 originally read as follows:

aPND: perioperative neurocognitive dysfunction.
bDBD: donation after brain death.
cDCD: donation after circulatory death.>
dDBCD: donation after brain death followed by circulatory death.

The footnotes now read:

aData presented in Table 1 are based on the original dataset prior to data imputation.
bPND: perioperative neurocognitive dysfunction.
cDBD: donation after brain death.
dDCD: donation after circulatory death.
eDBCD: donation after brain death followed by circulatory death.

Below is the new Figure 4 (presented here as Figure 1), which will replace the originally published figure.

Figure 1. Post–liver transplantation survival associated with perioperative neurocognitive dysfunction. Patients with post–liver transplantation perioperative neurocognitive dysfunction showed a significantly lower survival rate. LT: liver transplantation; PND: perioperative neurocognitive dysfunction.

A paragraph in the Effect of PND on Patients’ Outcomes and Prognosis section has been revised. The text originally read as follows:

Further survival analysis (Figure 4)was conducted to assess patient prognosis. The PND group exhibited significantly lower survival rates at 30 days (87.1% vs 97.84%, P<.001), 3 months (83.99% vs 96.46%, P<.001), 6 months (82.78% vs 95.38%, P<.001), and 12 months (78.85% vs 88.44%, P<.001), and overall survival (P=.03).

The text now reads:

Further survival analysis (Figure 4) was conducted to assess patient prognosis. The PND group exhibited significantly lower survival rates at 30 days (91.5% vs 98.2%, P<.001), 3 months (90.3% vs 97.1%, P<.001), 6 months (89.1% vs 96.1%, P<.001), and 12 months (87.9% vs 92.6%, P=.02).

The correction will appear in the online version of the paper on the JMIR Publications website, together with the publication of this correction notice. Because this was made after submission to PubMed, PubMed Central, and other full-text repositories, the corrected article has also been resubmitted to those repositories.

  1. Ding Z, Zhang L, Zhang Y, Yang J, Luo Y, Ge M, et al. A supervised explainable machine learning model for perioperative neurocognitive disorder in liver-transplantation patients and external validation on the medical information mart for intensive care IV database: retrospective study. J Med Internet Res. Jan 15, 2025;27:e55046. [FREE Full text] [CrossRef] [Medline]

This is a non–peer-reviewed article. submitted 04.Dec.2025; accepted 11.Dec.2025; published 11.Mar.2026.

Copyright

©Zhendong Ding, Linan Zhang, Yihan Zhang, Jing Yang, Yuheng Luo, Mian Ge, Weifeng Yao, Ziqing Hei, Chaojin Chen. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.Mar.2026.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.