PURPOSEThe objective was to develop and evaluate the portability of a text mining algorithm for prospectively capturing disease progression in electronic health record (EHR) data of patients with ...

Prof. Wang's current research interests include text mining algorithms and systems, data modeling and its applications, and combinatorial optimizations. His previous interests included large-scale ...

Jie Wang Professor Wang's current research interests include text mining algorithms and systems, data modeling and its applications, and combinatorial optimizations. His previous interests included ...

Professor Wang's current research interests include text mining algorithms and systems, data modeling and its applications, and combinatorial optimizations. His previous interests included large-scale ...

Using text mining algorithms, we can scour large text data sources to find associations between words and outcomes. It’s perhaps easiest to look at a case of supervised modelling, where the outcome we ...

Algorithms Text and data mining (TDM) is pivotal to the development of new AI applications, allowing researchers and businesses to copy and harness disparate datasets to train their algorithms.

A text mining algorithm for capturing disease progression was developed in hospitals 1 and 2 and then transferred to hospitals 3 and 4 to evaluate portability. Performance metrics were calculated by ...