Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

Since the start of the COVID-19 pandemic, organisations have drastically started to reformulate the functionalities of their offices. The trend hybrid working has caused office buildings to have considerable low occupancy rates, as employees rather perform certain tasks at home and do not feel like the …

Traditionally moving raw data from source to destination has been a tedious process of planning infrastructure predicting scalability, availability, and costs. The solution demonstrated in this thesis is a serverless ETL pipeline that manages semi-structured data and transforms it into a query-compatible …

Background: Modern modeling techniques may potentially provide more accurate predictions of dichotomous outcomes than classical techniques. Objective: In this study, we aimed to examine the predictive performance of eight modeling techniques to predict mortality by frailty. Methods: We performed a …

The COVID-19 pandemic has forced higher education (HE) to shift to emergency remote teaching (ERT), subsequently influencing academic belonging and social integration, as well as challenging students' engagement with their studies. This study investigated influences on student engagement during ERT, …

Background: Pregnant women have preferences about how they intend to manage labour pain. Unmet intentions can result in negative emotions and/or birth experiences. Objective: To examine the antenatal level of intention for intrapartum pain relief and the factors that might predict this intention. Design: …

BACKGROUND & AIMS: The Global Leadership Initiative on Malnutrition (GLIM) criteria require validation in various clinical populations. This study determined the prevalence of malnutrition in people with cancer using all possible diagnostic combinations of GLIM etiologic and phenotypic criteria and determined …

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …

Purpose: Appointment attendance is critical in monitoring health and well-being of children. Low income Medicaid-insured families with newborns often experience social risks that may affect attendance. This project sought to characterize social risk factors present at first newborn visits predictive …

BACKGROUND: Determining readiness to return to sport after anterior cruciate ligament (ACL) reconstruction is challenging. OBJECTIVES: To develop models to predict initial (directly after rehabilitation) and sustainable (one year after rehabilitation) return to sport and performance in individuals after …