This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2844) Clinical Informatics (1171) Clinical Information and Decision Making (1677) Pregnancy Information, Education and Lifestyle Interventions (352) Obstetrics, Gynecology, and Reproductive Medicine (281) Machine Learning (1758)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54109, first published .
Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Development and Evaluation Study

Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Development and Evaluation Study

Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Development and Evaluation Study

Authors of this article:

João Coutinho-Almeida1, 2, 3 Author Orcid Image ;   Alexandrina Cardoso4 Author Orcid Image ;   Ricardo Cruz-Correia1, 2, 3 Author Orcid Image ;   Pedro Pereira-Rodrigues1, 2, 3 Author Orcid Image
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JMIR Formative Res: Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Development and Evaluation Study https://t.co/uUskT8lnzO https://t.co/fqH9HRSABY

1:04 PM · Apr 08, 2024

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JMIR Formative Research JMIR Formative Research @JMIR_Formative

RT @jmirpub: JMIR Formative Res: Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Develo…

1:05 PM · Apr 08, 2024

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João Almeida João Almeida @4Elemento

RT @jmirpub: JMIR Formative Res: Fast Healthcare Interoperability Resources–Based Support System for Predicting Delivery Type: Model Develo…

3:22 PM · Apr 08, 2024

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