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09/09/2023
How to Evaluate Semantic Communications for Images with ViTScore Metric?
Semantic communications (SC) have been expected to be a new paradigm shi...
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08/16/2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
Recent advancements in AI applications to healthcare have shown incredib...
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05/10/2023
XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients
Heart attack remain one of the greatest contributors to mortality in the...
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05/05/2023
Is dataset condensation a silver bullet for healthcare data sharing?
Safeguarding personal information is paramount for healthcare data shari...
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05/05/2023
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention
The lack of data democratization and information leakage from trained mo...
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05/05/2023
All models are local: time to replace external validation with recurrent local validation
External validation is often recommended to ensure the generalizability ...
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02/28/2023
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
Electronic Health Records (EHRs) contain sensitive patient information, ...
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10/19/2022
Adversarial De-confounding in Individualised Treatment Effects Estimation
Observational studies have recently received significant attention from ...
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03/14/2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Electronic Health Records (EHRs) are a valuable asset to facilitate clin...
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12/22/2021
Generating Synthetic Mixed-type Longitudinal Electronic Health Records for Artificial Intelligent Applications
The recent availability of electronic health records (EHRs) have provide...
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07/04/2021
Towards Scheduling Federated Deep Learning using Meta-Gradients for Inter-Hospital Learning
Given the abundance and ease of access of personal data today, individua...
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03/31/2021
DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time
Myocardial Infarction (MI) has the highest mortality of all cardiovascul...
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03/19/2021
Let Your Heart Speak in its Mother Tongue: Multilingual Captioning of Cardiac Signals
Cardiac signals, such as the electrocardiogram, convey a significant amo...
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11/28/2020
DROPS: Deep Retrieval of Physiological Signals via Attribute-specific Clinical Prototypes
The ongoing digitization of health records within the healthcare industr...
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11/28/2020
PCPs: Patient Cardiac Prototypes
Many clinical deep learning algorithms are population-based and difficul...
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11/17/2020
Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease
Recent years have seen an increased focus into the tasks of predicting h...
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07/01/2020
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Accurate and reliable prediction of hospital admission location is impor...
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05/27/2020
CLOCS: Contrastive Learning of Cardiac Signals
The healthcare industry generates troves of unlabelled physiological dat...
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04/22/2020
SoQal: Selective Oracle Questioning in Active Learning
Large sets of unlabelled data within the healthcare domain remain underu...
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04/20/2020
CLOPS: Continual Learning of Physiological Signals
Deep learning algorithms are known to experience destructive interferenc...
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04/20/2020
ALPS: Active Learning via Perturbations
Small, labelled datasets in the presence of larger, unlabelled datasets ...
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12/10/2019
Severity Detection Tool for Patients with Infectious Disease
Hand, foot and mouth disease (HFMD) and tetanus are serious infectious d...
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11/30/2017