MODELING QUALITATIVE RELATIONSHIPS IN A CAUSAL GRAPH

• US 20090157663A1
• Filed: 06/06/2007
• Published: 06/18/2009
• Est. Priority Date: 06/13/2006
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: High Tech Campus 44
• Inventors: Kate, Ten Warner Rudolph Theophile
• Application Number:
  US12/304,216
• Publication Number:
  US 20090157663A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The invention relates to a system (100, 304) for determining a subset of disorders of a set of disorders for an observed symptom of a set of symptoms, the system comprising: a modeler (102) for modeling qualitative relationships between disorders of the set of disorders and symptoms of the set of symptoms as a causal graph; an orderer (104) for partially ordering the qualitative relationships; a determiner (106) for using the observed symptom to determine the subset of disorders for the observed symptom based upon the partial ordering of the qualitative relationships. The invention further relates to a method of determining a subset of disorders of a set of disorders for an observed symptom of a set of symptoms, wherein qualitative relationships between disorders of the set of disorders and symptoms of the set of symptoms are modeled as a causal graph and the qualitative relationships are partially ordered, the method comprising using the observed symptom to determine the subset of disorders for the observed symptom based upon the partial ordering of the qualitative relationships. The invention further relates to A medical workstation (116) for determining a subset of disorders of a set of disorders for an observed symptom of a set of symptoms, the medical workstation comprising: the system (100, 304) according to the invention; a database (112, 306) comprising a set of disorders, a set of symptoms, a model of qualitative relationships between disorders of the set of disorders and symptoms of the set of symptoms as a causual graph and a partial ordering the qualitative relationships; and an interactive device (118, 120, 122) for providing interaction between a user and the medical workstation. The invention further relates to a computer program product (324) to be loaded by a computer arrangement (116), comprising instructions for determining a subset of disorders of a set of disorders for an observed symptom of a set of symptoms, the computer arrangement comprising processing unit (110) and a memory (124), the computer program product, after being loaded, providing said processing unit with the capability to carry out method according to the invention.

Claims

1. System (100, 304) for determining a subset of disorders of a set of disorders for an observed symptom of a set of symptoms, the system comprising:

a modeler (102) for modeling qualitative relationships between disorders of the set of disorders and symptoms of the set of symptoms as a causal graph;

an orderer (104) for partially ordering the qualitative relationships;

a determiner (106) for using the observed symptom to determine the subset of disorders for the observed symptom based upon the partial ordering of the qualitative relationships.

2. A system according to claim 1, further comprising:

a selector (108) for interactive selection of the observed symptom and the set of disorders by a user.

3. A system according to 1, wherein each of the qualitative relationships is associated with a likelihood level within the partial ordering of the qualitative relationships.

4. A system according to claim 1, wherein the determiner is further for

changing the partial ordering of the qualitative relationships;

and

determining the subset of disorders for the observed symptom based upon the changed partial ordering.

5. A system according to claim 1, wherein the determiner is further for

determining a plurality of subsets of disorders from the set of disorders;

and

ranking the plurality of subsets of disorders by weighting the plurality of subsets of disorders.

6. A system according to claim 1, wherein the determiner is further for restricting the subset of disorders for the observed symptom according to a predefined criterion.

7. A medical workstation (116) for determining a subset of disorders of a set of disorders for an observed symptom of a set of symptoms, the medical workstation comprising:

the system (100, 304) according to claim 1;

a database (112, 306) comprising a set of disorders, a set of symptoms, a model of qualitative relationships between disorders of the set of disorders and symptoms of the set of symptoms as a causual graph and a partial ordering the qualitative relationships;

an interactive device (118, 120, 122) for providing interaction between a user and the medical workstation.

8. A medical workstation according to claim 7, wherein the system, the database and the interactive device are located remotely from each other.

9. A method of determining a subset of disorders of a set of disorders for an observed symptom of a set of symptoms, wherein qualitative relationships between disorders of the set of disorders and symptoms of the set of symptoms are modeled as a causal graph and the qualitative relationships are partially ordered, the method comprising:

using the observed symptom to determine the subset of disorders for the observed symptom based upon the partial ordering of the qualitative relationships.

10. A method according to claim 9, further comprising:

interactively selecting the observed symptom and the set of disorders by a user.

11. A computer program product (324) to be loaded by a computer arrangement (116), comprising instructions for determining a subset of disorders of a set of disorders for an observed symptom of a set of symptoms, the computer arrangement comprising processing unit (110) and a memory (124), the computer program product, after being loaded, providing said processing unit with the capability to carry out the task of using the observed symptom to determine the subset of disorders for the observed symptom based upon a partial ordering of qualitative relationships wherein the qualitative relationships between disorders of the set of disorders and symptoms of the set of symptoms are modeled as a causal graph and the qualitative relationships are partially ordered.