"": protocol for the evaluation of a codesigned whole of community approach to promote social connection in older adults.

Background: There is wide acknowledgement in the literature that social connection is protective against loneliness and depression. More robust research, however, is needed to evaluate interventions that promote social connection. This protocol paper outlines the evaluation of a community-wide social connection program, , in metropolitan Melbourne, Australia to support people 65 years and older to increase access to local community services/activities; and to ascertain impact on social connection, loneliness, depressive symptoms, physical and mental wellbeing, and use of health services.

The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.

Objective: To further develop and refine an Emergency Department (ED) in-patient admission prediction model using machine learning techniques.

Methods: This was a retrospective analysis of state-wide ED data from New South Wales, Australia. Six classification algorithms (Bayesian networks, decision trees, logistic regression, naïve Bayes, neural networks and nearest neighbour) and five feature selection techniques (none, manual, correlation-based, information gain and wrapper) were examined.