Background and objectives Artificial intelligence (AI) has branched out to various
applications in healthcare, such as health services management, predictive medicine …

Radiological reporting has generated large quantities of digital content within the electronic
health record, which is potentially a valuable source of information for improving clinical care …

Membership inference is one of the simplest privacy threats faced by machine learning
models that are trained on private sensitive data. In this attack, an adversary infers whether a …

Machine learning (ML) has been widely adopted in various privacy-critical applications, eg,
face recognition and medical image analysis. However, recent research has shown that ML …

The growing amount of data in operational electronic health record systems provides
unprecedented opportunity for its reuse for many tasks, including comparative effectiveness …

Objective This paper describes the University of Michigan's nine-year experience in
develo** and using a full-text search engine designed to facilitate information retrieval (IR) …

Medical coding is the task of assigning medical codes to clinical free-text documentation.
Healthcare professionals manually assign such codes to track patient diagnoses and …

The UK has recorded one of the highest death rates associated with COVID-19 globally,
whether measured as deaths that are directly attributable to COVID-19 or by excess …

Hercules Dalianis Secondary Use of Electronic Patient Records Page 1 Hercules Dalianis
Clinical Text Mining Secondary Use of Electronic Patient Records Page 2 Clinical Text …

Purpose Entrepreneurship in the rural hospitality and tourism sector (RHT) has received
wide attention in the past decade. However, a systematic review on this topic is currently …