Background: Patients with multiple conditions have complex needs and are increasing in
number as populations age. This multimorbidity is one of the greatest challenges facing …

Objective The study sought to explore to what extent geolocation data has been used to
study serious mental illness (SMI). SMIs such as bipolar disorder and schizophrenia are …

In recent years there has been a surge of interest in the potential of Artificial Intelligence (AI)
to address the global threat of climate change. Here, we consider climate change …

Multimorbidity is common among older people and presents a major challenge to health
systems worldwide. Metrics of multimorbidity are, however, crude: focusing on measuring …

Clinical decision support systems are interactive software systems designed to help
clinicians with decision-making tasks, such as determining a diagnosis or recommending a …

Background To investigate machine learning methods, ranging from simpler interpretable
techniques to complex (non-linear)“black-box” approaches, for automated diagnosis of Age …

Falls in older adults are a major clinical problem often resulting in serious injury. The costly
nature of clinic-based testing for the propensity of falling and a move towards homebased …

Background Chronic kidney disease (CKD) is a major and increasing constituent of disease
burdens worldwide. Early identification of patients at increased risk of developing CKD can …

Clinical decision support systems (CDSSs) are interactive software systems designed to
assist clinicians with decision making tasks, such as determining diagnosis of patient data …

Objectives A rapid growth in the reported rates of acute kidney injury (AKI) has led to calls for
greater attention and greater resources for improving care. However, the reported incidence …