Cost-Effectiveness Analysis of a Machine Learning–Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study
Cost-Effectiveness Analysis of a Machine Learning–Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study
Jacques-Henri Veyron, Fabrice Denis, Joël Belmin, Charlotte Havreng‐Théry et al.
Citations
1 citations
Journal
JMIR Formative Research
Topics
Chronic Disease Management Strategies
Field-Weighted Citation Impact (FWCI)
1.35
article
Cost-Effectiveness Analysis of a Machine Learning–Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study
Jacques-Henri Veyron, Fabrice Denis, Joël Belmin, Charlotte Havreng‐Théry, Arnaud Fouchard
article en
1 citations
Abstract
No abstract available for this paper.
Publication Tag
JMIR Formative ResearchVol. 9
Institutions
Sorbonne Université (FR), Sorbonne Paris Cité (FR), Assistance Publique – Hôpitaux de Paris (FR), Anton Proksch Institut (AT), Centre Jean Bernard (FR), Presage Biosciences (United States) (US), Hôpital Charles-Foix (FR)