A fusion of machine learning algorithms and traditional statistical forecasting models for analyzing American healthcare expenditure
The American healthcare system allocates considerable resources compared to peer-developed nations. However, outcomes significantly trail behind, particularly in life expectancy. This study addresses questions about the enduring trends in healthcare spending as a percentage of Gross Domestic Product...
Main Authors: | John Wang, Zhaoqiong Qin, Jeffrey Hsu, Bin Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-06-01
|
Series: | Healthcare Analytics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772442524000145 |
Similar Items
-
An investigation of income inequality through autoregressive integrated moving average and regression analysis
by: John Wang, et al.
Published: (2024-06-01) -
Development of a Group Method of Data Handling Technique to Forecast Iron Ore Price
by: Diyuan Li, et al.
Published: (2020-03-01) -
An Ensemble Forecasting Model of Wind Power Outputs Based on Improved Statistical Approaches
by: Yeojin Kim, et al.
Published: (2020-03-01) -
Regulating bulkhead pressure of EPB shield machines through DEM modeling and data mining
by: Panpan Cheng, et al.
Published: (2023-02-01) -
Support Vector Regression Model Based on Empirical Mode Decomposition and Auto Regression for Electric Load Forecasting
by: Hong-Juan Li, et al.
Published: (2013-04-01)