US 12,080,087 B2
Classifying pharmacovigilance documents using image analysis
Sameen Mayur Desai, Morris Plains, NJ (US)
Assigned to Bristol-Myers Squibb Company, Princeton, NJ (US)
Filed by Bristol-Myers Squibb Company, Princeton, NJ (US)
Filed on Aug. 28, 2023, as Appl. No. 18/456,998.
Application 18/456,998 is a continuation of application No. 17/345,632, filed on Jun. 11, 2021, granted, now 11,790,681.
Claims priority of provisional application 63/056,501, filed on Jul. 24, 2020.
Prior Publication US 2023/0410544 A1, Dec. 21, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 30/413 (2022.01); G06F 16/55 (2019.01); G06F 16/583 (2019.01); G06N 3/08 (2023.01); G06V 30/414 (2022.01)
CPC G06V 30/413 (2022.01) [G06F 16/55 (2019.01); G06F 16/583 (2019.01); G06N 3/08 (2013.01); G06V 30/414 (2022.01)] 20 Claims
OG exemplary drawing
 
11. A system comprising:
data processing hardware; and
memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising:
receiving a request to classify a document;
converting the document into a new image file;
blending one or more pages of the new image file into a single image stack;
assigning, using a trained learning engine, a first classification and a second classification to the document based on the single image stack; and
determining a priority value of the document based on the first classification and the second classification.