Cerner Innovation, Inc.

Girish Sharavana

Darshan Matada Shashidhara

Pratyush Kumar

Amarrtya Jana

Winston Rohan DSouza

Aiswarya Ramachandran

Methods, systems, and computer-readable media are disclosed herein for improved state identification and prediction in computerized queries. In an aspects, a neural network model is trained via word embedding, using a plurality of workflows having a plurality of steps as input training data. The model may be searched using a string to locate and identify semantic matches as potential results, where the potential results correspond to a specific step and/or a particular workflow. Markov chaining may also be performed, using the potential results, in order to predict one or more additional results, where the additional results correspond to a specific succeeding step within a particular workflow, in some aspects. The results and predicted steps may be displayed.

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Bengaluru, India

Girish Sharavana