OC15.07: Application of machine learning methods to predict the success of expectant or medical management of miscarriage

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Published in:Ultrasound in obstetrics & gynecology 2024-09, Vol.64 (S1), p.40-41
Main Authors: Murugesu, S., Linton‐Reid, K., Braun, E., Barcroft, J., Cooper, N., Pikovsky, M., Novak, A.M., Parker, N., Stalder, C., Al‐Memar, M., Saso, S., Aboagye, E., Bourne, T.
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Machine learning
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container_end_page 41
container_issue S1
container_start_page 40
container_title Ultrasound in obstetrics & gynecology
container_volume 64
creator Murugesu, S.
Linton‐Reid, K.
Braun, E.
Barcroft, J.
Cooper, N.
Pikovsky, M.
Novak, A.M.
Parker, N.
Stalder, C.
Al‐Memar, M.
Saso, S.
Aboagye, E.
Bourne, T.
description
doi_str_mv 10.1002/uog.27828
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identifier ISSN: 0960-7692
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language eng
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source Wiley-Blackwell Read & Publish Collection
subjects Machine learning
title OC15.07: Application of machine learning methods to predict the success of expectant or medical management of miscarriage
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