Editorial: Artificial intelligence, machine learning, and data-mining techniques to increase cost-effectiveness in healthcare
Saved in:
Main Authors: | P. Wilner Jeanty, Marie-Rachelle Narcisse, Romain Crastes Dit Sourd |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Public Health |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2024.1525628/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Determinants of Fish Catch: A Quantile Regression Approach
by: Mary Pleños
Published: (2021-06-01) -
Fear of violence and brain drain analysis among healthcare workers in Turkey
by: Hatice Mutlu, et al.
Published: (2024-12-01) -
A novel quantile regression for fractiles based on unit logistic exponential distribution
by: Hanan Haj Ahmad, et al.
Published: (2024-12-01) -
Examining the Impact of Bank Cost Efficiency on Non-Performing Loans in a Dollarised Economy: Evidence from Zimbabwe
by: Blessing Katuka, et al.
Published: (2024-12-01) -
IMPACT OF CIRCULAR ECONOMY INDICATORS ON RESOURCE PRODUCTIVITY IN EU COUNTRIES
by: Daniela Rybárová, et al.
Published: (2024-12-01)