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

Vibe coding market insights through AI agents can unlock hidden insights, extract themes from multiple data sources, ...

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

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 ...

With the exponential growth of digital data and the limitations of conventional silicon-based storage and computing technologies, bio-inspired, DNA-driven computing and information storage has ...

Distributed source coding represents a paradigm shift in data compression, wherein multiple correlated sources are encoded independently while still enabling joint decoding.

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 ...

Based on coding data for more than 90,000 acute stroke admissions between 2002 and 2014, there was a gap in the accuracy of the administrative data recorded during the weekend and during the weekdays.