Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohort

Background: Early identification of probable post-traumatic stress disorder (PTSD) can lead to early intervention and treatment. Aims: This study aimed to evaluate supervised machine learning (ML) classifiers for the identification of probable PTSD in those who are serving, or have recently served in the United Kingdom (UK) Armed Forces. Methods: Supervised ML classification techniques were applied to a military cohort of 13,690 serving and ex-serving UK Armed Forces personnel to identify probable PTSD based on self-reported service exposures and a range of validated self-report measures. Data were collected between 2004 and 2009. Results: The predictive performance of supervised ML classifiers to detect cases of probable PTSD were encouraging when compared to a validated measure, demonstrating a capability of supervised ML to detect the cases of probable PTSD. It was possible to identify which variables contributed to the performance, including alcohol misuse, gender and deployment status. A satisfactory sensitivity was obtained across a range of supervised ML classifiers, but sensitivity was low, indicating a potential for false negative diagnoses. Conclusions: Detection of probable PTSD based on self-reported measurement data is feasible, may greatly reduce the burden on public health and improve operational efficiencies by enabling early intervention, before manifestation of symptoms

From rhetoric to reality: which resilience, why resilience, and whose resilience in spatial planning?

This paper analyses contrasting academic understandings of ‘equilibrium resilience’ and ‘evolutionary resilience’ and investigates how these nuances are reflected within both policy and practice. We reveal that there is a lack of clarity in policy, where these differences are not acknowledged with resilience mainly discussed as a singular, vague, but optimistic aim. This opaque political treatment of the term and the lack of guidance has affected practice by privileging an equilibrist interpretation over more transformative, evolutionary measures. In short, resilience within spatial planning is characterised by a simple return to normality that is more analogous with planning norms, engineered responses, dominant interests, and technomanagerial trends. The paper argues that, although presented as a possible paradigm shift, resilience policy and practice underpin existing behaviour and normalise risk. It leaves unaddressed wider sociocultural concerns and instead emerges as a narrow, regressive, technorational frame centred on reactive measures at the building scale

Government replies to the Twelfth and Thirteenth Reports from the Defence Committee Session 1994-95 on the Reserve Forces and market testing and contracting out of defence support functions

Second special report from the Defence CommitteeAvailable from British Library Document Supply Centre-DSC:f99/2804 / BLDSC - British Library Document Supply CentreSIGLEGBUnited Kingdo