Claims for Patent: 11,270,797

Summary for Patent: 11,270,797

Title:	Machine-learning based query construction and pattern identification for hereditary angioedema
Abstract:	A method, computer program product, and system identifying a probability of a medical condition in a patient. The method includes a processor obtaining data set(s) related to a patient population diagnosed with a medical condition and based on a frequency of features in the data set(s), identifying common features and weighting the common features based on frequency of occurrence in the data set(s) to generate mutual information. The processor generates pattern(s) including a portion of the common features to generate a machine learning algorithm(s). The processor compiles a training set of data to use to tune the machine learning algorithm(s). The processor dynamically adjusts common features in the pattern(s) such that the machine learning algorithm(s) can distinguish patient data indicating the medical condition from patient data not indicating the medical condition. The processor applies the machine learning algorithm(s) to data related to the undiagnosed patient, to determine the probability.
Inventor(s):	Shukla Oodaye, Yosmanovich Donna, Kasoji Manjula, Finkbiner Amy, Lauer Robert, Izmailov Rauf
Assignee:	HVH Precision Analytics LLC
Application Number:	US15724480
Patent Claims:

Details for Patent 11,270,797

Applicant	Tradename	Biologic Ingredient	Dosage Form	BLA	Approval Date	Patent No.	Expiredate
Takeda Pharmaceuticals U.s.a., Inc.	CINRYZE	c1 esterase inhibitor (human)	For Injection	125267	October 10, 2008		2037-10-04
Takeda Pharmaceuticals U.s.a., Inc.	KALBITOR	ecallantide	Injection	125277	December 01, 2009		2037-10-04
Csl Behring Gmbh	BERINERT	c1 esterase inhibitor (human)	For Injection	125287	October 09, 2009		2037-10-04