DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
Background Medical practitioners use survival models to explore and understand the
relationships between patients' covariates (eg clinical and genetic features) and the …
relationships between patients' covariates (eg clinical and genetic features) and the …
Association between ambient temperature and mortality risk and burden: time series study in 272 main Chinese cities
Objectives To examine the association between temperature and cause specific mortality,
and to quantify the corresponding disease burden attributable to non-optimum ambient …
and to quantify the corresponding disease burden attributable to non-optimum ambient …
The social licence for research: why care. data ran into trouble
P Carter, GT Laurie, M Dixon-Woods - Journal of medical ethics, 2015 - jme.bmj.com
In this article we draw on the concept of a social licence to explain public concern at the
introduction of care. data, a recent English initiative designed to extract data from primary …
introduction of care. data, a recent English initiative designed to extract data from primary …
Self-management, self-management support needs and interventions in advanced cancer: a scoping review
S Budhwani, WP Wodchis, C Zimmermann… - BMJ supportive & …, 2019 - spcare.bmj.com
Patients with advanced cancer can experience illness trajectories similar to other
progressive chronic disease conditions where undertaking self-management (SM) and …
progressive chronic disease conditions where undertaking self-management (SM) and …
Short term association between ozone and mortality: global two stage time series study in 406 locations in 20 countries
Objective To assess short term mortality risks and excess mortality associated with exposure
to ozone in several cities worldwide. Design Two stage time series analysis. Setting 406 …
to ozone in several cities worldwide. Design Two stage time series analysis. Setting 406 …
Before and beyond trust: reliance in medical AI
CX Kerasidou, A Kerasidou, M Buscher… - Journal of medical …, 2022 - jme.bmj.com
Artificial intelligence (AI) is changing healthcare and the practice of medicine as data-driven
science and machine-learning technologies, in particular, are contributing to a variety of …
science and machine-learning technologies, in particular, are contributing to a variety of …
Cardiovascular mortality risk attributable to ambient temperature in China
Objective To examine cardiovascular disease (CVD) mortality burden attributable to ambient
temperature; to estimate effect modification of this burden by gender, age and education …
temperature; to estimate effect modification of this burden by gender, age and education …
Why do acute healthcare staff engage in unprofessional behaviours towards each other and how can these behaviours be reduced? A realist review protocol
Introduction Unprofessional behaviours encompass many behaviours including bullying,
harassment and microaggressions. These behaviours between healthcare staff are …
harassment and microaggressions. These behaviours between healthcare staff are …
A randomised controlled trial of a play-based intervention to improve the social play skills of children with attention deficit hyperactivity disorder (ADHD)
There is a need for effective interventions to address the social difficulties of children with
ADHD. This randomised controlled trial examined the effectiveness of a play-based …
ADHD. This randomised controlled trial examined the effectiveness of a play-based …
Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives
Background There is a growing concern about artificial intelligence (AI) applications in
healthcare that can disadvantage already under-represented and marginalised groups (eg …
healthcare that can disadvantage already under-represented and marginalised groups (eg …