Performance Evaluation of Supply Chain Disruption Risk Prediction Models in Healthcare: A Multi-Source Data Analysis
This research introduces the processing of the resources of risky expenses as medical information, focusing on the corresponding information. The survey affects a long-term number of time (LSTM) network architecture The framework meets complexity materials, and the processing methods are ready to be made to work. Testing to get the test of our 2021-2012 data in the facts of the risk risk of risk. More files combined to get a reliable belief by 15.4% compared to a normal routine. Studies show new tests that qualify for medical examples than useful use of high-quality technology. The strong power framework is used as a permanent measure, causing a consistent manner with a different kind of differences. This course is an increased level of risk of the risk of making a combination of contexts.
Authors
- Yibang Liu
- Chengru Ju
- Mengying Shu
Institutions
- Baruch College (US)
- Iowa State University (US)
- Columbia University (US)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1145/3727993.3728045
- Citations
- 4
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 2.22