Hospital-associated deconditioning is a broad term, which refers non-specifically to declines
in any function of the body secondary to hospitalisation. Older people, particularly those …

Despite significant technical advances in machine learning (ML) over the past several years,
the tangible impact of this technology in healthcare has been limited. This is due not only to …

Accurately estimating the length of stay (LOS) of patients admitted to the intensive care unit
(ICU) in relation to their health status helps healthcare management allocate appropriate …

Objective This study aims to develop high-performing Machine Learning and Deep Learning
models in predicting hospital length of stay (LOS) while enhancing interpretability. We …

Summary In this work, we (1) outline the design process of clinical ML/AI tools;(2) identify
several key design questions one must consider when develo** such a tool, including …

Effective public health surveillance requires consistent monitoring of disease signals such
that researchers and decision-makers can react dynamically to changes in disease …

Background Technological advances have enabled continuous monitoring of vital signs
(CMVS) by wearable, wireless devices on general hospital wards to facilitate early detection …

Lymphopenia is a common feature of acute COVID-19 and is associated with increased
disease severity and 30-day mortality. Here we aim to define the demographic and clinical …

Background Governments worldwide are facing growing pressure to increase transparency,
as citizens demand greater insight into decision-making processes and public spending. An …

The demand for healthcare workers and infrastructure from an alarmingly growing patient
population may contribute to the increased Length of Stay (LOS) in Hospital and Mortality …