Integrating differential privacy in deep reinforcement learning for sepsis treatment with pulmonary implications

Pulmonary diseases, such as pneumonia and lung abscess, can trigger sepsis, while sepsis-induced immune dysfunction exacerbates Pulmonary tissue damage, creating a vicious cycle. Therefore, designing a safe and effective clinical treatment planning method for sepsis is critically significant. In rec...

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Hlavní autoři:	Shuling Wang, Feng Yang, Suixue Wang, Rongdao Sun
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Frontiers Media S.A. 2025-04-01
Edice:	Frontiers in Medicine
Témata:	pulmonary diseases sepsis treatment artificial intelligence deep reinforcement learning differential privacy clinical treatment plan
On-line přístup:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1590824/full
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