… , Vinyas Harish, Andrew Lam, Seung Eun Yi and Sophie Hu curated and extracted data.
Jonathan Smith, Kavya Anchuri, Joanna Pineda and Seung Eun Yi conducted data analysis. All …

Reliable treatment effect estimation from observational data depends on the availability of
all confounding information. While much work has targeted treatment effect estimation from …

While LSTMs show increasingly promising results for forecasting Financial Time Series (FTS),
this paper seeks to assess if attention mechanisms can further improve performance. The …

Electronic health records (EHRs) recorded in hospital settings typically contain a wide range
of numeric time series data that is characterized by high sparsity and irregular observations. …

Objective To predict older adults’ risk of avoidable hospitalisation related to ambulatory care
sensitive conditions (ACSC) using machine learning applied to administrative health data of …

We consider the task of discovering categories of non-pharmaceutical interventions during
the evolving COVID-19 pandemic. We explore topic modeling on two corpora with national …

Non-pharmaceutical interventions (NPIs) have been the primary tool used by governments
and organizations to mitigate the spread of the ongoing pandemic of COVID-19. Natural …

Objective.To develop new evaluation indices of infection control and to use them to evaluate
Korean infection surveillance and control programs (ISCPs).Design.We performed a …

Hand-foot-and-mouth disease (HFMD) is a viral infectious disease that occurs in children
under 5 years of age. Its main causes are coxsackievirus (CV) and enterovirus (EV). Since …

Juvenile myelomonocytic leukemia (JMML) is a life-threatening myeloproliferative neoplasm.
The chemotherapeutic effect on survival remains unclear, and feasible standardized …