The increasing availability of electronic health data presents a major opportunity in
healthcare for both discovery and practical applications to improve healthcare. However, for …

The primary objective of implementing Electronic Health Records (EHRs) is to improve the
management of patients' health-related information. However, these records have also been …

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

Objective: We explored whether use of deep learning to model temporal relations among
events in electronic health records (EHRs) would improve model performance in predicting …

Leveraging large historical data in electronic health record (EHR), we developed Doctor AI,
a generic predictive model that covers observed medical conditions and medication uses …

Predicting the future health information of patients from the historical Electronic Health
Records (EHR) is a core research task in the development of personalized healthcare …

Personalized predictive medicine necessitates the modeling of patient illness and care
processes, which inherently have long-term temporal dependencies. Healthcare …

These guidelines are intended for use by healthcare professionals who care for children and
adults with suspected or confirmed infectious diarrhea. They are not intended to replace …

Feature engineering remains a major bottleneck when creating predictive systems from
electronic medical records. At present, an important missing element is detecting predictive …

Personalized predictive medicine necessitates modeling of patient illness and care
processes, which inherently have long-term temporal dependencies. Healthcare …