Response letter to the editor—Original manuscript: Machine learning versus logistic regression for the prediction of complication after pancreatoduodenectomy

Erik W. Ingwersen; F. Daams

doi:10.1016/j.surg.2023.12.024

Response letter to the editor—Original manuscript: Machine learning versus logistic regression for the prediction of complication after pancreatoduodenectomy

Erik W. Ingwersen, F. Daams

Research output: Contribution to journal › Letter › Academic › peer-review

Original language	English
Pages (from-to)	1462-1463
Number of pages	2
Journal	Surgery (United States)
Volume	175
Issue number	5
DOIs	https://doi.org/10.1016/j.surg.2023.12.024
Publication status	Published - 1 May 2024

Access to Document

10.1016/j.surg.2023.12.024

Cite this

@article{83be4b34455147f9b8c85730d47007af,

title = "Response letter to the editor—Original manuscript: Machine learning versus logistic regression for the prediction of complication after pancreatoduodenectomy",

author = "Ingwersen, {Erik W.} and F. Daams",

year = "2024",

month = may,

day = "1",

doi = "10.1016/j.surg.2023.12.024",

language = "English",

volume = "175",

pages = "1462--1463",

journal = "Surgery (United States)",

issn = "0039-6060",

publisher = "Mosby Inc.",

number = "5",

}

TY - JOUR

T1 - Response letter to the editor—Original manuscript

T2 - Machine learning versus logistic regression for the prediction of complication after pancreatoduodenectomy

AU - Ingwersen, Erik W.

AU - Daams, F.

PY - 2024/5/1

Y1 - 2024/5/1

UR - http://www.scopus.com/inward/record.url?scp=85189352813&partnerID=8YFLogxK

U2 - 10.1016/j.surg.2023.12.024

DO - 10.1016/j.surg.2023.12.024

M3 - Letter

C2 - 38326218

SN - 0039-6060

VL - 175

SP - 1462

EP - 1463

JO - Surgery (United States)

JF - Surgery (United States)

IS - 5

ER -

Response letter to the editor—Original manuscript: Machine learning versus logistic regression for the prediction of complication after pancreatoduodenectomy

Access to Document

Other files and links

Cite this