Methods for estimating resting energy expenditure in intensive care patients: A comparative study of predictive equations with machine learning and deep learning approaches

Background: Accurate estimation of resting energy expenditure (REE) is critical for guiding nutritional therapy in critically ill patients. While indirect calorimetry (IC) is the gold standard for REE measurement, it is not routinely feasible in clinical settings due to its complexity and cost. Pred...

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Bibliographic Details

Main Authors:	Shuen Ang, Christopher Yew, Mat Nor, Mohd Basri, Nordin, Nur Sazwi, Kyi, Thant Zin, Razali, Ailin, Chiew, Yeong Shiong
Format:	Article
Language:	en en en
Published:	Elsevier 2025
Subjects:	QA75 Electronic computers. Computer science RC82 Medical Emergencies, Critical Care, Intensive Care, First Aid
Online Access:	http://irep.iium.edu.my/123076/7/123076_Methods%20of%20Estimating.pdf http://irep.iium.edu.my/123076/8/123076_%20Web%20of%20Science%20Core%20Collection.pdf http://irep.iium.edu.my/123076/9/123076_Scopus%20-%20Document%20Details.pdf http://irep.iium.edu.my/123076/ https://www.sciencedirect.com/science/article/pii/S0169260725000744
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