Predicting individual hemoglobin abnormalities using longitudinal data in clinical practice

Predicting individual hemoglobin abnormalities using longitudinal data in clinical practice

Abstract Background In preventive medicine, the promotion of health and well-being through early detection and intervention is crucial to preventing the development of diseases. This study aims to predict potential abnormalities in hemoglobin levels before they occur, using individualised observatio...

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Bibliographic Details
Main Authors: Maliheh Namazkhan, Karel Jan van Tuijn, Maurits Kaptein, Remco van Horssen
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Individual hemoglobin value
Prediction model
Longitudinal data
Generalised additive model
Preventive health
Online Access:https://doi.org/10.1186/s12911-025-03085-6
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