DIAGNOSING INAPPARENT DISEASES FROM COMMON CLINICAL TESTS USING BAYESIAN ANALYSIS

Patent №

US 8,068,993

Granted

2011-11-29

Filed 2008

Owner

QUEST DIAGNOSTICS INVESTMENTS INCORPORATED

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12140880

A system and method of diagnosing diseases from biological data is disclosed. A system for automated disease diagnostics prediction can be generated using a database of clinical test data. The diagnostics prediction can also be used to develop screening tests to screen for one or more inapparent diseases. The prediction method can be implemented with Bayesian probability estimation techniques. The system and method permit clinical test data to be analyzed and mined for improved disease diagnosis.

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG16H 50/30G16H 15/00G16H 50/20G16H 50/70G16H 50/80G16H 10/20G16H 10/60Y02A 90/10

AI classification

Machine learning1.00
Planning1.00
Knowledge representation0.99
AI hardware0.99
Natural language0.98
Vision0.67
Evolutionary computation0.13
Speech0.00

Ownership

QUEST DIAGNOSTICS INVESTMENTS INCORPORATED

assignment · 265280340

Assignors

CENGENT THERAPEUTICS, INC.

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

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