BACKGROUND In Norway, admission teams at Community Mental Health Centres (CMHCs) assess referrals from General Practitioners (GPs), and classify the referrals into priority groups according to treatment needs, as defined in the Act of Patient Rights. In this study, we analyzed classification of similar referrals to determine the reliability of classification into priority groups (i.e., horizont...

Clinical reasoning is situation-dependent and case-specific; therefore, assessments incorporating different patient presentations are warranted. The present study aimed to determine the reliability of a multi-station case-based viva assessment of clinical reasoning in an Australian pre-registration osteopathy program using generalizability theory. Students (from years 4 and 5) and examiners wer...

Spatio-temporal machine learning is critically needed for a variety of societal applications, such as agricultural monitoring, hydrological forecast, and traffic management. These applications greatly rely on regional features that characterize spatial temporal differences. However, spatio-temporal data often exhibit complex patterns significant variability across different locations. The label...

To be useful, cognitive models with fitted parameters should show generalizability across time and allow accurate predictions of future observations. It has been proposed that hierarchical procedures yield better estimates of model parameters than do nonhierarchical, independent approaches, because the formers' estimates for individuals within a group can mutually inform each other. Here, we ex...

This study proposes the use of a modified genetic algorithm (MGA), a global search technique, as a training method to improve generalizability and to identify relevant inputs in a neural network (NN) model. Generalizability refers to the NN model’s ability to perform well on exemplars (observations) that were not used during training (outof-sample); improved generalizability enhances NN’s accep...

Land use regression (LUR) models have been used to assess air pollutant exposure, but limited evidence exists on whether location-specific LUR models are applicable to other locations (transferability) or general models are applicable to smaller areas (generalizability). We tested transferability and generalizability of spatial-temporal LUR models of hourly particle number concentration (PNC) f...

The Generalizability of Knowledge as Measured by a Single-Response Situational Judgment Test Across Domains