Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity

Development and validation of machine learning classifiers for predicting treatment-needed retinopathy of prematurity

Abstract Background This study aims to design and evaluate various supervised machine-learning models for identifying premature infants who require treatment based on demographic data and clinical findings from screening examinations. Methods We conducted a retrospective review of medical records fo...

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Main Authors: Nasser Shoeibi, Majid Abrishami, Seyedeh Maryam Hosseini, Mohammad-Reza Ansari-Astaneh, Razieh Farrahi, Bahareh Gharib, Fatemeh Neghabi, Mojtaba Abrishami, Mehdi Sakhaee, Mehrdad Motamed Shariati
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Artificial intelligence
Machine learning
Prediction models
Retinopathy of prematurity
Treatment
Online Access:https://doi.org/10.1186/s12911-025-03057-w
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