Use of billing codes in big data sets to find diagnoses can result in up to two-thirds of cases being mistakenly identified, ...

Use of billing codes in big data sets to find diagnoses can result in up to two-thirds of cases being mistakenly identified, ...

Routinely collected health data are data collected for purposes other than research or without specific a priori research questions developed before collection.1 Examples include clinical information ...

Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...

Research published by The BMJ suggests inaccurate coding may be to blame for the "weekend effect" — or theory that patients admitted during the weekend are more likely to die than those admitted ...

This cross-journal Collection shines a spotlight on research exploring DNA as a scalable and sustainable medium for computing and data storage. Skip to main content Thank you for visiting nature.com.

Second, the study introduces QCrank and QBArt, the two data encoding techniques that utilize pUCR circuits: QCrank encodes continuous real data as rotation angles and QBArt encodes integer data in ...