Development of a Deep Learning Immune Cell Abundance Model Predict 28-Day Survival in Patients with Sepsis

Y. Gu (Guangzhou City, China), X. Liu (Guangzhou City, China), X. Li (Guangzhou City, China), N. Zhang (Guangzhou City, China), H. Li (Guangzhou City, China), W. Qin (Guangzhou City, China), T. Yu (Guangzhou City, China), L. Li (Guangzhou City, China)

Source: International Congress 2022 – New mechanistic insights into acute and chronic interstitial lung disorders
Session: New mechanistic insights into acute and chronic interstitial lung disorders
Session type: Thematic Poster
Number: 2805

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Y. Gu (Guangzhou City, China), X. Liu (Guangzhou City, China), X. Li (Guangzhou City, China), N. Zhang (Guangzhou City, China), H. Li (Guangzhou City, China), W. Qin (Guangzhou City, China), T. Yu (Guangzhou City, China), L. Li (Guangzhou City, China). Development of a Deep Learning Immune Cell Abundance Model Predict 28-Day Survival in Patients with Sepsis. 2805

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