Smart healthcare has achieved significant progress in recent years. Emerging artificial
intelligence (AI) technologies enable various smart applications across various healthcare …

Much of the knowledge and information needed for enabling high-quality clinical research is
stored in free-text format. Natural language processing (NLP) has been used to extract …

Natural language processing (NLP) is rapidly becoming an important topic in the medical
community. The ability to automatically analyze any type of medical document could be the …

Background Stroke is the second leading cause of death worldwide and has a significantly
high recurrence rate. We aimed to identify risk factors for stroke recurrence and develop an …

Background Hospital readmission is an important indicator of inpatient care quality and a
significant driver of increasing medical costs. Therefore, it is important to explore the effects …

Abstract Introduction The Coronavirus 2019 (COVID-19) epidemic stunned the health
systems with severe scarcities in hospital resources. In this critical situation, decreasing …

Introduction Data collection often relies on time-consuming manual inputs, with a vast
amount of information embedded in unstructured texts such as patients' medical records and …

Background In-hospital mortality, prolonged length of stay (LOS), and 30-day readmission
are common outcomes in the intensive care unit (ICU). Traditional scoring systems and …

Objective: Audit logs in electronic health record (EHR) systems capture interactions of
providers with clinical data. We determine if machine learning (ML) models trained using …

The last decade has seen significant advances in the accumulation of medical data, the
computational techniques to analyze that data, and corresponding improvements in …