Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Machine learning-based prediction of postoperative mortality in emergency colorectal surgery: A retrospective, multicenter cohort study using Tokushukai medical database
5
Zitationen
5
Autoren
2023
Jahr
Abstract
We successfully generated a machine-learning prediction model, including GBDT, with the best prediction performance and exploited the potential for use in evaluating in-hospital mortality risk for patients who undergo emergency colorectal surgery.
Ähnliche Arbeiten
Classification of Surgical Complications
2004 · 30.306 Zit.
2013 ESH/ESC Guidelines for the management of arterial hypertension
2013 · 13.652 Zit.
CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
2010 · 13.456 Zit.
Seventh Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure
2003 · 13.237 Zit.
2013 ACCF/AHA Guideline for the Management of Heart Failure
2013 · 12.586 Zit.