Yuanda Zhu
Orcid: 0000-0001-7812-9216
According to our database1,
Yuanda Zhu
authored at least 26 papers
between 2019 and 2024.
Collaborative distances:
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Bibliography
2024
Developing Novel NLP-Enabled Timely and Accurate Decision Making for Precision Medicine.
PhD thesis, 2024
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records.
CoRR, 2024
2023
Explainable synthetic image generation to improve risk assessment of rare pediatric heart transplant rejection.
J. Biomed. Informatics, March, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023
Adolescent Idiopathic Scoliosis Patient Subphenotyping for Surgical Planning and Improved Patient Outcomes.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
Retrieval-Augmented Large Language Models for Adolescent Idiopathic Scoliosis Patients in Shared Decision-Making.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023
2022
Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics.
IEEE J. Biomed. Health Informatics, 2022
Domain Adaptation Using Convolutional Autoencoder and Gradient Boosting for Adverse Events Prediction in the Intensive Care Unit.
Frontiers Artif. Intell., 2022
Accelerating Multi-site Health Informatics with Streamlined Data Infrastructure using OMOP-on-FHIR.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Automating Treatment Recommendations for Children with Cerebral Palsy Based on Multi-Modal Clinical Data.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Using natural language processing on free-text clinical notes to identify patients with long-term COVID effects.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
Development of a generalizable multi-site and multi-modality clinical data cloud infrastructure for pediatric patient care.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks.
IEEE J. Biomed. Health Informatics, 2021
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review.
CoRR, 2021
A FHIR-compliant Application for Multi-Site and Multi-Modality Pediatric Scoliosis Patient Rehabilitation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Improving Heart Transplant Rejection Classification Training using Progressive Generative Adversarial Networks.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021
2020
REMOTE: Robust External Malware Detection Framework by Using Electromagnetic Signals.
IEEE Trans. Computers, 2020
Public Health Informatics: Proposing Causal Sequence of Death Using Neural Machine Translation.
CoRR, 2020
Regularization of Deep Neural Networks for EEG Seizure Detection to Mitigate Overfitting.
Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020
Mitigating Patient-to-Patient Variation in EEG Seizure Detection using Meta Transfer Learning.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
Feature Exploration and Causal Inference on Mortality of Epilepsy Patients Using Insurance Claims Data.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019
Improved Prediction on Heart Transplant Rejection Using Convolutional Autoencoder and Multiple Instance Learning on Whole-Slide Imaging.
Proceedings of the 2019 IEEE EMBS International Conference on Biomedical & Health Informatics, 2019