AUTOMATED MEDICAL DECISION MAKING UTILIZING BAYESIAN NETWORK KNOWLEDGE DOMAIN MODELING

Patent №

US 6,687,685

Granted

2004-02-03

Filed 2000

Owner

DR. RED DUKE, INC.

Lab

AI components

4

ml · nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09544953

The present invention relates to a system and method of medical knowledge domain modeling and automated medical decision-making, such as for online, questionnaire-based medical triage. In the present invention, information such as conditions and characteristics related to a diagnosis or disposition level is modeled in a Bayesian Network. The Bayesian Network may comprise instantiable nodes, fault nodes, intermediary nodes, a utility node and a decision node. Using Bayesian inference, the conditional probability of any pair in the network may be determined in real-time. These conditional probabilities are modified upon the input of evidence, which is typically in the form of answers to a dynamic set of questions designed to identify a diagnosis or disposition level for the patient under evaluation.

AI classification

Planning1.00
Machine learning1.00
Knowledge representation1.00
Natural language0.87
AI hardware0.39
Vision0.30
Evolutionary computation0.00
Speech0.00

Ownership

DR. RED DUKE, INC.

assignment · 109670406

Assignors

SADEGHI, SARMAD, BARZI, AFSANEH, ZARRIN-KHAMEH, NEDA

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

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