Polycystic ovary syndrome and the internet of things: a scoping review

Graca, S. orcid.org/0000-0002-3538-4038, Alloh, F., Lagojda, L. orcid.org/0000-0001-9793-3672 et al. (4 more authors) (2024) Polycystic ovary syndrome and the internet of things: a scoping review. Healthcare, 12 (16). 1671. ISSN 2227-9032

Abstract

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Keywords: polycystic ovary syndrome (PCOS); Internet of Things (IoT); mobile app; social media; wearable; machine learning; artificial intelligence (AI)
Dates:
  • Published: 2 August 2024
  • Published (online): 21 August 2024
  • Accepted: 17 August 2024
  • Submitted:
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Depositing User: Symplectic Sheffield
Date Deposited: 27 Aug 2024 13:27
Last Modified: 27 Aug 2024 13:27
Status: Published
Publisher: MDPI AG
Refereed: Yes
Identification Number: 10.3390/healthcare12161671
Open Archives Initiative ID (OAI ID):

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