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

Formative Evaluation of Digital Health Interventions (2432) Clinical Informatics (1033) Clinical Information and Decision Making (1415) Pregnancy Information, Education and Lifestyle Interventions (300) Obstetrics, Gynecology, and Reproductive Medicine (226) Machine Learning (1475)

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
Article Authors Cited by (1) Tweetations (3) Metrics

João Coutinho-Almeida   1, 2, 3 , MSci, PharmD ;   Alexandrina Cardoso   4 , PhD ;   Ricardo Cruz-Correia   1, 2, 3 , PhD ;   Pedro Pereira-Rodrigues   1, 2, 3 , PhD

1 Faculty of Medicine, University of Porto, Porto, Portugal

2 Centre for Health Technologies and Services Research, University of Porto, Porto, Portugal

3 Health Data Science, Faculty of Medicine, University of Porto, Porto, Portugal

4 Nursing School of Porto, Porto, Portugal

Corresponding Author:

  • João Coutinho-Almeida, MSci, PharmD
  • Faculty of Medicine, University of Porto
  • Alameda Professor Hernâni Monteiro
  • Porto, 4200-319
  • Portugal
  • Phone: 351 225513600
  • Email: joaofilipe90@gmail.com