Degui Zhi
Orcid: 0000-0001-7754-1890
According to our database1,
Degui Zhi
authored at least 38 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies.
Trans. Mach. Learn. Res., 2024
2023
Bioinform., January, 2023
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
Training Recurrent Neural Network-Based Model to Predict COVID-19 Patient Risk for PASC using Pytorch_EHR - Hands-on Tutorial on N3C.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
A Deep-Learning-based Two-Compartment Predictive Model (PKRNN-2CM) for Vancomycin Therapeutic Drug Monitoring.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023
2022
PK-RNN-V E: A deep learning model approach to vancomycin therapeutic drug monitoring using electronic health record data.
J. Biomed. Informatics, 2022
BMC Bioinform., 2022
Proceedings of the 22nd International Workshop on Algorithms in Bioinformatics, 2022
Proceedings of the AMIA 2022, 2022
Pancreatic cancer risk prediction using recurrent neural network models trained on electronic health records and claims data.
Proceedings of the AMIA 2022, 2022
2021
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction.
npj Digit. Medicine, 2021
Simple Recurrent Neural Networks is all we need for clinical events predictions using EHR data.
CoRR, 2021
Proceedings of the 21st International Workshop on Algorithms in Bioinformatics, 2021
mcPBWT: Space-Efficient Multi-column PBWT Scanning Algorithm for Composite Haplotype Matching.
Proceedings of the Computational Advances in Bio and Medical Sciences: 11th International Conference, 2021
CovRNN: predicting outcomes of COVID-19 patients on admission using their electronic health records with minimal data processing.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
Generalizable Gated Recurrent Neural Network based model to predict COVID-19 patient outcomes on admission.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Representation of EHR data for predictive modeling: a comparison between UMLS and other terminologies.
J. Am. Medical Informatics Assoc., 2020
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction.
CoRR, 2020
2019
Time-sensitive clinical concept embeddings learned from large electronic health records.
BMC Medical Informatics Decis. Mak., 2019
Network context matters: graph convolutional network model over social networks improves the detection of unknown HIV infections among young men who have sex with men.
J. Am. Medical Informatics Assoc., 2019
Bioinform., 2019
2018
A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set.
J. Biomed. Informatics, 2018
The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: bioinformatics towards translational applications.
BMC Bioinform., 2018
Proceedings of the AMIA 2018, 2018
Proceedings of the AMIA 2018, 2018
2017
Ultra-Fast Identity by Descent Detection in Biobank-Scale Cohorts Using Positional Burrows-Wheeler Transform.
Proceedings of the Research in Computational Molecular Biology, 2017
Proceedings of the AMIA 2017, 2017
2013
Joint haplotype phasing and genotype calling of multiple individuals using haplotype informative reads.
Bioinform., 2013
2012
Genotype calling from next-generation sequencing data using haplotype information of reads.
Bioinform., 2012
2011
2010
2007
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
2006
Discovery and analysis of mosaic arrangements in biological sequences and structures.
PhD thesis, 2006
BMC Bioinform., 2006