Publication Name	World Journal of Gastrointestinal Oncology
Manuscript ID	98863
Country	China

Received	2024-07-17 01:51
Peer-Review Started	2024-07-17 01:51
To Make the First Decision
Return for Revision	2024-07-28 21:41
Revised	2024-08-05 08:14
Second Decision	2024-08-12 05:15
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2024-08-12 10:18
Articles in Press	2024-08-12 10:18
Publication Fee Transferred
Edit the Manuscript by Language Editor	2024-08-15 07:40
Typeset the Manuscript	2024-08-20 02:31
Publish the Manuscript Online	2024-11-12 12:23

ISSN	1948-5204 (online)
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Category	Gastroenterology & Hepatology
Manuscript Type	Editorial
Article Title	Estimating the prognosis of gastric neuroendocrine neoplasms using machine learning: A step towards precision medicine
Manuscript Source	Invited Manuscript
All Author List	Hong-Niu Wang, Jia-Hao An and Liang Zong
ORCID	Author(s) ORCID Number Hong-Niu Wang http://orcid.org/0000-0003-2572-4868 Jia-Hao An http://orcid.org/0009-0006-3018-4295 Liang Zong http://orcid.org/0000-0003-4139-4571
Funding Agency and Grant Number
Corresponding Author	Liang Zong, PhD, Doctor, Doctor, Department of Gastrointestinal Surgery, Changzhi People’s Hospital, No. 502 Changxing Middle Road, Changzhi 046000, Shanxi Province, China. 250537471@qq.com
Key Words	Machine learning; Artificial intelligence; Gastric neuroendocrine neoplasm; Random survival forest model; Disease-specific survival
Core Tip	Liu et al’s study addresses a critical issue in determining the postoperative prognosis of gastric neuroendocrine tumors by identifying the significance of lymph node ratio. Moreover, the random survival forest model, a machine-learning approach, surpasses traditional Cox proportional hazards models by enhancing predictive accuracy, clinical utility, and overall performance. This model’s ability to stratify patient risks and personalize survival predictions can aid in formulating targeted postoperative strategies, thus realizing an important aspect of personalized “precision medicine”.
Publish Date	2024-11-12 12:23
Citation	<p>Wang HN, An JH, Zong L. Estimating the prognosis of gastric neuroendocrine neoplasms using machine learning: A step towards precision medicine. <i>World J Gastrointest Oncol</i> 2024; 16(12): 4548-4552</p>
URL	https://www.wjgnet.com/1948-5204/full/v16/i12/4548.htm
DOI	https://dx.doi.org/10.4251/wjgo.v16.i12.4548

Full Article (PDF)	WJGO-16-4548-with-cover.pdf
Manuscript File	98863_Auto_Edited_055643.docx
Answering Reviewers	98863-answering-reviewers.pdf
Audio Core Tip	98863-audio.m4a
Conflict-of-Interest Disclosure Form	98863-conflict-of-interest-statement.pdf
Copyright License Agreement	98863-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	98863-non-native-speakers.pdf
Peer-review Report	98863-peer-reviews.pdf
Scientific Misconduct Check	98863-scientific-misconduct-check.png
Scientific Editor Work List	98863-scientific-editor-work-list.pdf
CrossCheck Report	98863-crosscheck-report.png
CrossCheck Report	98863-crosscheck-report.pdf