Artificial Intelligence (AI) models may fail or suffer from reduced performance when applied to unseen data that differs from the training data distribution, referred to as dataset shift. Automatic detection of out-of-distribution (OOD) data contributes to safe and reliable clinical implementation of AI models. In this study, we propose a recognized OOD detection method that utilizes the Mahalanobis distance (MD) and compare its performance to widely known classical methods.
View Article and Find Full Text PDFBackground: Several Patient Reported Outcome Measurements (PROMs) can be used to quantify participation in rehabilitation patients, yet there is limited comparative research on their content and psychometric properties to make an informed decision between them.
Objective: To compare the content and several psychometric properties of the Restriction and Satisfaction subscales of the Utrecht Scale for Evaluation of Rehabilitation - Participation (USER-P) with the Patient-Reported Outcomes Measurement Information System Ability to Participate in Social Roles and Activities (PROMIS-APS) and Satisfaction with Social Roles and Activities (PROMIS-SPS) v2.0 8-item short forms.
Am Heart J
January 2025
Hypothesis: Capillary suspensions offer a new approach to generate novel materials. They are ternary liquid-liquid-solid systems characterized by particles connected by liquid bridges of one fluid suspended in a second immiscible bulk fluid. The viscosity of the bulk liquid can be modulated to customize the structure and rheological properties of capillary suspensions.
View Article and Find Full Text PDFDesign: Retrospective cohort study.
Objective: Determine the course of burden and psychological distress of significant others (SOs) during initial spinal cord injury (SCI) rehabilitation and to predict the caregiver's burden at discharge with characteristics of SOs and persons with SCI (PSCIs) at the start of rehabilitation.
Setting: Rehabilitation center Sint Maartenskliniek, Nijmegen, The Netherlands.