SYSTEMS AND METHODS FOR QUANTIFICATION AND PRESENTATION OF MEDICAL RISK ARISING FROM UNKNOWN FACTORS

Patent №

US 11,302,431

Granted

2022-04-12

Filed 2019

Owner

YOUSCRIPT INC.

Lab

AI components

5

nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16264397

Example methods of quantifying known and unknown risks of an adverse drug event in an individual based on various factors are disclosed. In some embodiments, factors include known drug-drug interactions and unknown phenotypes of cytochromes. Quantification may be based on severity of the adverse drug event/and or probability of occurrence in some embodiments. Example methods of displaying the quantified risk are also disclosed. In one embodiment, the risk of individuals is aggregated to display the risk of a population.

AI classification

Vision0.96
Planning0.90
Natural language0.78
AI hardware0.69
Knowledge representation0.54
Machine learning0.29
Evolutionary computation0.02
Speech0.00

Ownership

YOUSCRIPT INC.

assignment · 482140123

Assignors

COLEMAN, HOWARD C., PATTERSON, ROBERT D., OESTERHELD, JESSICA, PANY, RAJEEV V., ASHCRAFT, KRISTINE

On an employer assignment, the assignors are typically the inventors.

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