Immunocite-Derived Ratios Can Preoperatively Predict the Risk for Surgical Complications when Artificial Neural Networks Are Used for Analysis

Immunocite-Derived Ratios Can Preoperatively Predict the Risk for Surgical Complications when Artificial Neural Networks Are Used for Analysis

This study aimed to comparatively evaluate the prognostic preoperative utility of key peripheral blood components and their derived ratios—the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR)—i...

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Bibliographic Details
Main Authors: Stefan PATRASCU, Georgiana-Maria COTOFANA-GRAURE, Mircea-Sebastian ŞERBĂNESCU, Valeriu SURLIN
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2025-05-01
Series:Applied Medical Informatics
Subjects:
Artificial Neural Network
Biomarkers
Inflammation
Prognostic Factors
Online Access:https://ami.info.umfcluj.ro/index.php/AMI/article/view/1140
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https://ami.info.umfcluj.ro/index.php/AMI/article/view/1140

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