Stratifying patients with high risks of falling based on assessment with nursing notes is
essential for tailoring anticipated fall prevention strategies. However, the average exposure …

Diabetic patients can receive multiple/different treatments. However, there is no universal
solution for all patients, ie, one prescription can treat some patients, but it may not be …

Missingness is often present in treatment effect inference studies with response datasets.
However, the existing methods could not deal with the partially ignorable missingness (PIM) …

Exploring the nature of neural activity in humans attracts much attention in human-machine
interfaces. However, there is still a lack of understanding about the neural activities …

Optimizing the convergence and diversity of solutions simultaneously under constraints is a
challenge in solving constrained multiobjective optimization problems. In existing …

Objective In online health communities (OHCs), patients often list their physicians' expertise
by user-generated tags based on their consulted diseases. These expertise tags play an …

We propose a personalized algorithmic decision support (PADS) tool, facilitating premium
pricing for pregnant women by accounting for the risk of gestational diabetes mellitus (GDM) …

Frequent sequence mining is a valuable technique for identifying patterns and co-
occurrences in event sequences. However, traditional approaches often neglect the …

Observational data with massive sample sizes are often distributed on many local machines.
From an experimental design perspective, investigators often desire to identify the effect of …

To develop medical expert systems (MES), researchers and practitioners usually apply a
machine learning (ML) classifier they expect to be the best through ML effect estimation. A …