US 11,676,700 B2
Data aggregation, integration and analysis system and related devices and methods
Michael D. Abramoff, University Heights, IA (US)
Assigned to Digital Diagnostics Inc., Coralville, IA (US)
Filed by Digital Diagnostics Inc., Coralville, IA (US)
Filed on Apr. 22, 2021, as Appl. No. 17/237,377.
Application 17/237,377 is a continuation of application No. 16/362,174, filed on Mar. 22, 2019, granted, now 11,004,565.
Claims priority of provisional application 62/646,730, filed on Mar. 22, 2018.
Prior Publication US 2021/0249134 A1, Aug. 12, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G16H 30/20 (2018.01); G16H 50/20 (2018.01); G06F 16/23 (2019.01); G06N 3/084 (2023.01); G16H 30/40 (2018.01); G16H 50/70 (2018.01); G06F 18/214 (2023.01); G06V 30/19 (2022.01)
CPC G16H 30/20 (2018.01) [G06F 16/2379 (2019.01); G06F 18/214 (2023.01); G06N 3/084 (2013.01); G06V 30/19147 (2022.01); G06V 30/19173 (2022.01); G16H 30/40 (2018.01); G16H 50/20 (2018.01); G16H 50/70 (2018.01)] 20 Claims
OG exemplary drawing
 
15. A system comprising:
memory with instructions encoded thereon; and
one or more processors that, when executing the instructions, are caused to perform operations comprising:
registering a plurality of training images on a distributed ledger, each training image labeled with truth data;
training a machine learning model using the plurality of training images, wherein, as the machine learning model is trained, each of a plurality of modifications of the machine learning model that are attributable to a given training image are recorded as microtransactions to the distributed ledger in association with the given training image; and
registering each respective modification of the plurality of modifications made to the machine learning model on the distributed ledger and attributing the respective modification to the training image that resulted in the modification, wherein, as the machine learning model is used to form predictions, attribution of those predictions is assigned to one or more of the plurality of training images according to the registered modifications.