Results 171 to 180 of about 6,149,586 (334)
Objective In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently, and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of the trajectory of a ...
Ji Soo Kim +18 more
wiley +1 more source
Digital Twin Development for Hydrogen Transport Network with Machine Learning-Based Anomaly Detection [PDF]
Massimo Villari +5 more
openalex +1 more source
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli +8 more
wiley +1 more source
Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals. [PDF]
Dashtban A +9 more
europepmc +1 more source
Pause 2 Learn: developing self‐regulated learning [PDF]
openaire +2 more sources
Objective This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the Worldwide Collaboration ...
Myrthe A. van den Berg +26 more
wiley +1 more source
Creation of prosocial play experiences inspired by Noddings’s ideas of centers of care
This paper describes the implementation of Noddings’s ideas of creating centers as a platform for developing in children caring, prosocial behavior. Different centers such as a veterinary center, grocery store, house, baby center, woodworking center ...
Krystyna Nowak-Fabrykowski +2 more
doaj
Automated operative workflow analysis of endoscopic pituitary surgery using machine learning: development and preclinical evaluation (IDEAL stage 0). [PDF]
Khan DZ +15 more
europepmc +1 more source
Objective We conducted formative research aimed at identifying solutions that address inequitable health outcomes in lupus due to adverse social determinants of health (SDoH). Methods We conducted a search for keywords, which provided insights into potential solutions and initiatives underway. An advisory panel of lupus experts iteratively reviewed the
Joy Buie +11 more
wiley +1 more source

