Digital Health Prognostic Analyzer for Multiple Myeloma Mortality Predictions

Patent №

US 11,626,210

Granted

2023-04-11

Filed 2019

Owner

CELGENE CORPORATION

Lab

AI components

6

ml · vision · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16345152

Computer-implemented systems and methods are provided for constructing a numerical model to generate a probability that a patient diagnosed with multiple myeloma will die within a predetermined period of time. Reference data for a plurality of patients diagnosed with multiple myeloma is received. First variables selected from the reference data are deemed predictive of mortality for a first predetermined period of time, and second variables selected from the reference data are deemed predictive of mortality for a second predetermined period of time. A first computer model comprising a combination of variables of the first selected variables and first weighting factors is generated. A second computer model comprising a combination of variables of the second selected variables and second weighting factors is generated. The first computer model and the second computer model are trained using the reference data to determine numerical values for the respective first and second weighting factors.

AI classification

AI hardware1.00
Machine learning1.00
Evolutionary computation1.00
Vision0.95
Planning0.93
Knowledge representation0.81
Natural language0.05
Speech0.00

Ownership

CELGENE CORPORATION

assignment · 491840760

Assignors

SRINIVASAN, SHANKAR SWAMIMALAI, ELION-MBOUSSA, ALBERT

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

From the same owner

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