Patients diagnosed with systemic lupus erythematosus (SLE) suffer from a decreased
quality of life, an increased risk of medical complications, and an increased risk of death. In …

Objective: To apply the latest guidance for estimating and evaluating heterogeneous treatment
effects (HTEs) in an end-to-end case study of the Long-term Anticoagulation Therapy (RE-…

Unplanned readmission to the intensive care unit (ICU) confers excess morbidity and mortality.
We explore whether machine learning models can outperform the current standard, the …

Lupus nephritis (LN) is the most frequent and lethal complication of systemic lupus
erythematosus (SLE), often presenting with subtle or no initial symptoms. Therefore, it is crucial to …

Public health and safety measures (PHSM) made in response to the COVID-19 pandemic
have been singular, rapid, and profuse compared to the content, speed, and volume of normal …

Data harmonization is an important method for generating the requisite datasets to support
big data analyses. To date however, articles about data harmonization are field-specific and …

Abstract Machine learning to support decision making in healthcare typically assumes a
sufficient representation of the patient's history for learning and inference, such that all …

… "Baltimore Orioles pitching prospect Steve Bechler knew he had to drop a few pounds if he
was going to break into the major leagues. So when he cracked open the bottle ofXenadrine …

An important aspect of precision medicine focuses on characterizing diverse responses to
treatment due to unique patient characteristics, also known as heterogeneous treatment …

Though various Big Five personality traits have been shown to be predictive of Emergent
Leadership emergence within in person groups, the link between these had remained largely …