The application of machine learning (ML) has shown promising results in precision medicine
due to its exceptional performance in dealing with complex multidimensional data. However …

Background Medication prescription is a complex process that could benefit from current
research and development in machine learning through decision support systems …

Factual scenario analysis of a judgement is critical to judges during sentencing. With the
increasing number of legal cases, professionals typically endure heavy workloads on a daily …

OBJECTIVE: Safety of anticoagulant administration has been a primary concern of the Joint
Commission on Accreditation of Healthcare Organizations. Among all anticoagulants …

A burn injury is a disastrous trauma and can have wide-ranging impacts on burn patients,
their families, and society. Burn patients generally experience long hospital stays, and the …

The least squares support vector machine (LS-SVM) has emerged as a popular data-driven
modeling method and been extensively studied in the machine learning community …

Semisupervised scheme has emerged as a popular strategy in the machine learning
community due to the expensiveness of getting enough labeled data. In this paper, a …

More and more women are participating in and exchanging opinions through community-
based online social media. Questions concerning gender differences in the new media have …

Empirical data modeling can be used to model human performance and explore the
relationships between diverse sets of variables. A major challenge of empirical data …

Accurate prediction of the energy consumption of government-owned buildings in the design
phase is vital for government agencies, as it enables formulation of the early phases of …