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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Di Xu

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2 papers indexed here

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Open access Aug 2026

Development and validation of an interpretable machine learning model for predicting enteral nutrition-associated diarrhea in ICU patients: a multicenter study

Background ICU patients receiving EN are at high risk of ENAD, which may adversely affect clinical outcomes and increase mortality risk. Early identification of patients at high risk of ENAD may facilitate timely risk assessment and the implementation of individualized nutritional management. This study aimed to develo...

Yu-Hong Wang, Wei Hu, Cai-Yue Xu et al. · 0 citations
Open access Aug 2026

An evaluation based on explainable machine learning: analysis of risk factors for enteral nutrition-related diarrhea in patients with severe stroke

The results suggest that, in addition to focusing on the patients' clinical condition and nutritional interventions themselves, clinicians should also pay attention to the regulation of ward temperature and the proper management of relevant medications.

Cai-Yue Xu, Wei Hu, Yu-Hong Wang et al. · 0 citations

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