Electronic health records (EHRs), digital collections of patient healthcare events and
observations, are ubiquitous in medicine and critical to healthcare delivery, operations, and …

Machine learning (ML) has been slowly entering every aspect of our lives and its positive
impact has been astonishing. To accelerate embedding ML in more applications and …

Predictive modeling with electronic health record (EHR) data is anticipated to drive
personalized medicine and improve healthcare quality. Constructing predictive statistical …

Clinical notes are text documents that are created by clinicians for each patient encounter.
They are typically accompanied by medical codes, which describe the diagnosis and …

Secondary use of electronic health records (EHRs) promises to advance clinical research
and better inform clinical decision making. Challenges in summarizing and representing …

ICD coding is a process of assigning the International Classification of Disease diagnosis
codes to clinical/medical notes documented by health professionals (eg clinicians). This …

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 …

The automatic coding of clinical documentation according to diagnosis codes is a useful task
in the Electronic Health Record, but a challenging one due to the large number of codes and …

Large multi-label datasets contain labels that occur thousands of times (frequent group),
those that occur only a few times (few-shot group), and labels that never appear in the …

Automated ICD coding, which assigns the International Classification of Disease codes to
patient visits, has attracted much research attention since it can save time and labor for …