USE OF BRAIN ELECTROPHYSIOLOGICAL QUANTITATIVE DATA TO CLASSIFY AND SUBTYPE AN INDIVIDUAL INTO DIAGNOSTIC CATEGORIES BY DISCRIMINANT AND CLUSTER ANALYSIS
Patent №
US 5,083,571
Granted
1992-01-28
Filed 1988
Owner
NEW YORK UNIVERSITY, A CORP. OF NEW YORK
Lab
—
AI components
4
ml · nlp · kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
07182783
A system for using discriminant analysis of EEG data to automatically evaluate the probability that an individual patient belongs to specified diagnostic categories or a subtype within a category where there are more than two categories or subtypes, and the system automatically places the patient into one of those more than two categories or subtypes.
Machine learningNatural languageKnowledge representationAI hardwareA61B 5/16A61B 5/7264A61B 5/372A61B 5/377G16H 50/20A61B 5/369A61B 5/4088
AI classification
Machine learning0.95
AI hardware0.87
Natural language0.82
Knowledge representation0.53
Evolutionary computation0.33
Vision0.05
Planning0.02
Speech0.01
Ownership
NEW YORK UNIVERSITY, A CORP. OF NEW YORK
assignment · 55730631
Assignors
PRICHEP, LESLIE S.
On an employer assignment, the assignors are typically the inventors.