Data-driven FMEA approach for hazard identification and risk evaluation in digital health.

Saved in:
Bibliographic Details
Title: Data-driven FMEA approach for hazard identification and risk evaluation in digital health.
Authors: Waseem HM; Warwick Manufacturing Group, University of Warwick, Coventry, CV4 7AL, UK. hm.waseem@warwick.ac.uk., Islam SU; Warwick Manufacturing Group, University of Warwick, Coventry, CV4 7AL, UK., Harrison S; ETHOS Digital Health Ltd, Exeter, EX4 3SR, UK., Epiphaniou G; Warwick Manufacturing Group, University of Warwick, Coventry, CV4 7AL, UK., Matragkas N; CEA List, Université Paris-Saclay, 2 Bd Thomas Gobert, 91120, Palaiseau, France., Arvanitis TN; Department of Electronic, Electrical and Systems Engineering, School of Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK., Maple C; Warwick Manufacturing Group, University of Warwick, Coventry, CV4 7AL, UK.
Source: Scientific reports [Sci Rep] 2025 Jul 23; Vol. 15 (1), pp. 26856. Date of Electronic Publication: 2025 Jul 23.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-11929-4