Ziyuan Guan

According to our database1, Ziyuan Guan authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
A multi-cohort study on prediction of acute brain dysfunction states using selective state space models.
CoRR, 2024

Temporal Cross-Attention for Dynamic Embedding and Tokenization of Multimodal Electronic Health Records.
CoRR, 2024

Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study.
CoRR, 2024

2023
APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies.
CoRR, 2023

Detecting Visual Cues in the Intensive Care Unit and Association with Patient Clinical Status.
CoRR, 2023

Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures.
CoRR, 2023

Transformer Models for Acute Brain Dysfunction Prediction.
CoRR, 2023

Predicting risk of delirium from ambient noise and light information in the ICU.
CoRR, 2023

AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing.
CoRR, 2023

Clinical Courses of Acute Kidney Injury in Hospitalized Patients: A Multistate Analysis.
CoRR, 2023

Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit.
CoRR, 2023

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks.
Frontiers Digit. Health, 2022

2020
Application of Deep Interpolation Network for Clustering of Physiologic Time Series.
CoRR, 2020


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