Matthew T Rich

US Patent:

20210098134, Apr 1, 2021

Filed:

Sep 25, 2020

Appl. No.:

17/032608

Inventors:

- New York NY, US
Shantanu DEV - Chicago IL, US
Joseph VOYLES - Louisville KY, US
Anand S. RAO - Boston MA, US
Matthew RICH - Chicago IL, US
Siddhartha BHATTACHARYA - Philadelphia PA, US

Assignee:

PricewaterhouseCoopers LLP - New York NY

International Classification:

G16H 50/70
G16H 10/60
G16H 50/20
G16H 70/40
G16H 50/30
G16H 40/20
G06N 3/04
G06N 3/08
G06F 40/30
G06F 40/279

Abstract:

Techniques for pharmacovigilence adverse-event processing include receiving data comprising medical narrative text and generating, based on the received data, using a recurrent neural network encoder, a fixed-length context vector representation of the medical narrative text. The fixed-length context vector representation may then be queried, using a recurrent neural network decoder, to generate one or more hidden states. A first set of the one or more hidden states may be processed to generate an assessment of seriousness represented by the medical narrative text, and a second set of the one or more hidden states may be processed to generate a plurality of respective assessments of whether respective individual words of the medical narrative text correspond to one or more adverse events.