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Chapter and Conference Paper
Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data
Predicting outcomes for cancer patients initiating chemotherapy is essential for care planning and offers potential to support clinical and health policy decision-making. Existing models leveraging deep learni...
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Chapter and Conference Paper
Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding
Electronic Health Records (EHRs) are a rich source of information that can be leveraged for various medical applications, such as disease inference, treatment recommendation, and outcome analysis. However, the...
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Chapter and Conference Paper
Machine Teaching-Based Efficient Labelling for Cross-unit Healthcare Data Modelling
A data custodian of a big organization (such as a Commonwealth Data Integrating Authority), namely teacher, can easily build an intelligent model which is well trained by comprehensive data collected from mult...
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Chapter and Conference Paper
Predicting Outcomes for Cancer Patients with Transformer-Based Multi-task Learning
Cancer patients often experience numerous hospital admissions as a result of their cancer and treatment, which can negatively impact treatment progress and quality of life. Accurately predicting outcomes for c...
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Chapter
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health
Privacy protection is an ethical issue with broad concern in artificial intelligence (AI). Federated learning is a new machine learning paradigm to learn a shared model across users or organisations without di...
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Chapter and Conference Paper
A Green Pipeline for Out-of-Domain Public Sentiment Analysis
In the changing social and economic environment, organisations are keen to act promptly and appropriately to changes. Sentiment analysis can be applied to social media data to capture timely information of new...
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Chapter and Conference Paper
Interactive Deep Metric Learning for Healthcare Cohort Discovery
Given the continuous growth of large-scale complex electronic healthcare data, a data-driven healthcare cohort discovery facilitated by machine learning tools with domain expert knowledge is required to gain f...
