Automated medical decision making utilizing bayesian network knowledge domain modeling
AssigneeDr. Red Duke, Inc.
InventorsSarmad Sadeghi, Afsaneh Barzi, Neda Zarrin-Khameh
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AssigneeDr. Red Duke, Inc.
InventorsSarmad Sadeghi, Afsaneh Barzi, Neda Zarrin-Khameh
Estimating the term…
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.
A method for providing automated medical decision-making comprising:
A computerized system for providing automated medical triage to a patient under study comprising:
A method for providing automated medical decision-making comprising:
Dependencies are inferred from the claim text.