Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical studyResearch in context

Summary: Background: Dengue epidemics impose considerable strain on healthcare resources. Real-time continuous and non-invasive monitoring of patients admitted to the hospital could lead to improved care and outcomes. We evaluated the performance of a commercially available wearable (SmartCare) uti...

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Bibliografiska uppgifter

Huvudupphov:	Stefan Karolcik, Vasileos Manginas, Ho Quang Chanh, John Daniels, Nguyen Thi Giang, Vu Ngo Thanh Huyen, Minh Tu Van Hoang, Khanh Phan Nguyen Quoc, Bernard Hernandez, Damien K. Ming, Hao Nguyen Van, Tu Qui Phan, Huynh Trung Trieu, Tai Luong Thi Hue, Alison H. Holmes, Louise Thwaites, Tho Phan Vinh, Sophie Yacoub, Pantelis Georgiou
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2024-06-01
Serie:	EBioMedicine
Ämnen:	Dengue Photoplethysmography (PPG) Deep learning
Länkar:	http://www.sciencedirect.com/science/article/pii/S2352396424001993
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