Abstract Electronic Medical Records (EMRs) can provide many benefits to physicians,
patients and healthcare services if they are adopted by healthcare organizations. But …

In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …

Electronic health records (EHRs) are widely used in epidemiological research, but the
validity of the results is dependent upon the assumptions made about the healthcare system …

Background Early diagnosis interventions such as symptom awareness campaigns
increasingly form part of global cancer control strategies. However, these strategies will …

Coincident with the tsunami of COVID-19–related publications, there has been a surge of
studies using real-world data, including those obtained from the electronic health record …

Missing data are an unavoidable complication in many machine learning tasks. When data
are 'missing at random'there exist a range of tools and techniques to deal with the issue …

The importance of big health data is recognised worldwide. Most UK National Health
Service (NHS) care interactions are recorded in electronic health records, resulting in an …

Objective To compare psychiatric emergencies and self-harm at emergency departments
(EDs) 1 year into the pandemic, to early pandemic and pre-pandemic, and to examine the …

Innovations in data science and artificial intelligence/machine learning (AI/ML) have a
central role to play in supporting global efforts to combat COVID-19. The versatility of AI/ML …

Background This study explores the meaning of actionable healthcare performance
indicators for quality of care-related decisions. To do so, we analyse the constructs of fitness …