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Small-for-Gestaional_Age_Prediction

This repository hosts the code used in the manuscript "MACHINE LEARNING IMPROVES EARLY PREDICTION OF SMALL-FOR-GESTATIONAL-AGE BIRTHS AND REVEALS NUCHAL FOLD THICKNESS AS UNEXPECTED PREDICTOR" by Shier Nee Saw (1,3), Arijit BISWAS (2), Citra Nurfarah Zaini MATTAR (2), Hwee Kuan LEE(1), Choon Hwai YAP (4)

(1) Bioinformatics Institute, Agency of Science, Technology and Research, A*STAR, 30 Biopolis Street, #07-01 Matrix, 138671, Singapore.

(2) Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, National University Health Systems, Singapore

(3) Department of Biomedical Engineering, National University of Singapore, Singapore.

(4) Department of Bioengineering, Imperial College London, London, UK

Data

data used for training and testing

AI_model_IUGR.ipynb

code used to train model and evaluate the model.

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