Importance Natural language processing (NLP) has the potential to accelerate translation of
cancer treatments from the laboratory to the clinic and will be a powerful tool in the era of …

Current models for correlating electronic medical records with-omics data largely ignore
clinical text, which is an important source of phenotype information for patients with cancer …

Objectives This review examines work on automated summarization of electronic health
record (EHR) data and in particular, individual patient record summarization. We organize …

The adoption of electronic health records (EHRs) has enabled a wide range of applications
leveraging EHR data. However, the meaningful use of EHR data largely depends on our …

Despite improved ancillary investigations in epilepsy care, patients' narratives remain
indispensable for diagnosing and treatment monitoring. This wealth of information is …

As medical organizations modernize their operations, they are increasingly adopting
electronic health records (EHRs) and deploying new health information technology systems …

Machine learning can be used to make sense of healthcare data. Probabilistic machine
learning models help provide a complete picture of observed data in healthcare. In this …

Automatically summarizing patients' main problems from daily progress notes using natural
language processing methods helps to battle against information and cognitive overload in …

Abstract The" Patient Instruction"(PI), which contains critical instructional information
provided both to carers and to the patient at the time of discharge, is essential for the patient …

Increasing demand and costs for healthcare, exacerbated by ageing populations and a
great shortage of doctors, are serious concerns worldwide. Consequently, this has …