Tingting Zhu
Orcid: 0000-0002-1552-5630Affiliations:
- University of Oxford, Oxford, UK
According to our database1,
Tingting Zhu
authored at least 69 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
A Survey of Generative Adversarial Networks for Synthesizing Structured Electronic Health Records.
ACM Comput. Surv., June, 2024
Intelligent Electrocardiogram Acquisition Via Ubiquitous Photoplethysmography Monitoring.
IEEE J. Biomed. Health Informatics, March, 2024
Understanding Missingness in Time-series Electronic Health Records for Individualized Representation.
CoRR, 2024
A Perspective on Individualized Treatment Effects Estimation from Time-series Health Data.
CoRR, 2024
IGNITE: Individualized GeNeration of Imputations in Time-series Electronic health records.
CoRR, 2024
2023
Neural Networks, August, 2023
Sensors, July, 2023
Improving Classification of Tetanus Severity for Patients in Low-Middle Income Countries Wearing ECG Sensors by Using a CNN-Transformer Network.
IEEE Trans. Biomed. Eng., April, 2023
PCPs: Patient Cardiac Prototypes to Probe AI-based Medical Diagnoses, Distill Datasets, and Retrieve Patients.
Trans. Mach. Learn. Res., 2023
npj Digit. Medicine, 2023
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications.
npj Digit. Medicine, 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities.
CoRR, 2023
XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients.
CoRR, 2023
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention.
CoRR, 2023
All models are local: time to replace external validation with recurrent local validation.
CoRR, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Classification of Tetanus Severity in Intensive-Care Settings for Low-Income Countries Using Wearable Sensing.
Sensors, 2022
Sepsis Mortality Prediction Using Wearable Monitoring in Low-Middle Income Countries.
Sensors, 2022
Intell. Data Anal., 2022
Electron. Commer. Res. Appl., 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources.
CoRR, 2022
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals.
Proceedings of the International Conference on Machine Learning, 2022
Learning of Cluster-based Feature Importance for Electronic Health Record Time-series.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
2021
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care.
IEEE J. Biomed. Health Informatics, 2021
Stroke risk prediction using machine learning: a prospective cohort study of 0.5 million Chinese adults.
J. Am. Medical Informatics Assoc., 2021
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning.
CoRR, 2021
Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals.
CoRR, 2021
DeepMI: Deep multi-lead ECG fusion for identifying myocardial infarction and its occurrence-time.
Artif. Intell. Medicine, 2021
CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021
2020
IEEE J. Biomed. Health Informatics, 2020
IEEE J. Biomed. Health Informatics, 2020
PlethAugment: GAN-Based PPG Augmentation for Medical Diagnosis in Low-Resource Settings.
IEEE J. Biomed. Health Informatics, 2020
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes.
CoRR, 2020
CoRR, 2020
Discriminant Knowledge Extraction from Electrocardiograms for Automated Diagnosis of Myocardial Infarction.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2020
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location.
Proceedings of the 37th International Conference on Machine Learning, 2020
A Spectral-longitudinal Model for Detection of Heart Attack from 12-lead Electrocardiogram Waveforms.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Unsupervised Bayesian Inference to Fuse Biosignal Sensory Estimates for Personalizing Care.
IEEE J. Biomed. Health Informatics, 2019
J. Assoc. Inf. Sci. Technol., 2019
Future Gener. Comput. Syst., 2019
A New Physically Meaningful Threshold of Sample Entropy for Detecting Cardiovascular Diseases.
Entropy, 2019
Bioinform., 2019
Patient-Specific Physiological Monitoring and Prediction Using Structured Gaussian Processes.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Future Gener. Comput. Syst., 2018
Machine learning for classifying tuberculosis drug-resistance from DNA sequencing data.
Bioinform., 2018
Identifying patient-specific trajectories in haemodialysis using Bayesian Hierarchical Gaussian Processes.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
2015
Bayesian fusion of algorithms for the robust estimation of respiratory rate from the photoplethysmogram.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Brain mitochondrial oxidative metabolism during and after cerebral hypoxia-ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy.
NeuroImage, 2014
Proceedings of the IEEE Global Humanitarian Technology Conference, 2014
Proceedings of the Computing in Cardiology, CinC 2014, 2014
2013
Proceedings of the Computing in Cardiology, 2013
Proceedings of the Computing in Cardiology, 2013