The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 27, 2024
Filed:
Oct. 11, 2022
Flatiron Health, Inc., New York, NY (US);
Jeremy Canfield, Brooklyn, NY (US);
Nisha Singh, Queens, NY (US);
Marc Knight, Pembroke Pines, FL (US);
Kimberly Wiederkehr, Brooklyn, NY (US);
Sarina Dass, New York, NY (US);
John Ritten, Brooklyn, NY (US);
Ashley Allen, Union, MO (US);
Andrea Ratzlaff, Virginia Beach, VA (US);
Stacie Sienicki, Goshen, IN (US);
Katherine Harrison, Brooklyn, NY (US);
Will Shapiro, New York, NY (US);
Brett Wittmershaus, Brooklyn, NY (US);
Flatiron Health, Inc., New York, NY (US);
Abstract
Described herein are techniques of using machine learning to automatically extract clinical variable values for subjects from clinical record data. The techniques designate certain clinical variables as hybrid variables that can be assigned values by machine learning model prediction. The techniques process, using a machine learning model trained to predict a value of a hybrid variable, clinical record data associated with a subject to obtain a predicted hybrid variable value and an associated confidence score. The techniques set the value of the hybrid variable for the subject to the predicted hybrid variable value when the model prediction is of sufficiently high confidence.