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
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.