Diagnostic support system for diabetes and storage medium

• US 20050234311A1
• Filed: 03/17/2005
• Published: 10/20/2005
• Est. Priority Date: 03/17/2004
• Status: Active Grant

• Current Assignee: Sysmex Corporation
• Original Assignee: Sysmex Corporation
• Inventors: Kouchi, Yasuhiro, Nakajima, Hiromu, Saitou, Takeo
• Granted Patent: US 7,914,449 B2
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

A diagnostic support system for diabetes including an input device used for inputting diagnostic data including clinical testing data; a biological model having parameters and which represents a organ function related to diabetes as a numerical model; an predicting means for predicting parameter values suited for a patient based on the diagnostic data and the biological model; a pathological condition analyzing means for analyzing a diabetic pathological condition of a patient based on the parameter values predicted by the predicting means; a diagnostic support information generating means for generating diagnostic support information based on the analyzed pathological condition; and a diagnostic support information outputting means for outputting information obtained by the diagnostic support information generating means. A computer-readable storage medium is also disclosed.

Claims

1. A diagnostic support system for diabetes comprising:

an input device used for inputting diagnostic data including clinical testing data;

a biological model having parameters and which represents a organ function related to diabetes as a numerical model;

an predicting means for predicting parameter values suited for a patient based on the diagnostic data and the biological model;

a pathological condition analyzing means for analyzing a diabetic pathological condition of a patient based on the parameter values predicted by the predicting means;

a diagnostic support information generating means for generating diagnostic support information based on the analyzed pathological condition; and

a diagnostic support information outputting means for outputting information obtained by the diagnostic support information generating means.

2. The diagnostic support system for diabetes of claim 1, wherein the biological model has model structures common to each patient.

3. The diagnostic support system for diabetes of claim 1, wherein the parameters corresponds to the pathological condition related to the treatment of diabetes.

4. The diagnostic support system for diabetes of claim 1, wherein the predicting means predicts the parameter values of a biological model so as to produce agreement between the input diagnostic data and the behavior of the living body recreated in the biological model.

5. The diagnostic support system for diabetes of claim 1, wherein the pathological condition analyzing means analyzes the pathological condition of each patient by comparing the parameter values characteristic of each patient with a predetermined normal range of the parameter values.

6. The diagnostic support system for diabetes of claim 1, wherein the diagnostic support information generating means generates diagnostic support information corresponding to a pathological condition pattern of the analysis result of the pathological condition analyzing means based on predetermined diagnostic support information corresponding to each pathological condition pattern.

7. The diagnostic support system for diabetes of claim 1, further comprising a treatment simulating means for inputting the parameter values predicted by the predicting means to the biological model, and simulating the effects of the treatment by simulated execution of the treatment based on a hypothetical treatment policy

8. The diagnostic support system for diabetes of claim 4, wherein the diagnostic data are a patient blood glucose level and a insulin concentration;

and the predicting means predicts the parameter values of a biological model so as to conform a blood glucose level and a insulin concentration of the biological model to the input blood glucose level and insulin concentration.

9. The diagnostic support system for diabetes of claim 1, wherein the biological model includes pancreas, liver, and peripheral tissue models, and the pancreas model represents insulin secretion, the liver model represents glucose uptake and production, and the peripheral tissue model represents glucose metabolism through insulin.

10. The diagnostic support system for diabetes of claim 9, wherein the biological model has parameters which respectively represent non-insulin-dependent glucose metabolism rate, basal glucose level, insulin uptake function at the insulin action site, insulin consumption rate relative to the insulin-dependent glucose metabolism, basal insulin concentration, amount of insulin consumed per unit time, insulin secretion sensitivity relative to glucose stimulation, and blood glucose level threshold at which insulin secretion begins.

11. A diagnostic support system for diabetes comprising:

an input device used for inputting diagnostic data including clinical testing data;

a biological model having parameters and which represents a organ function related to diabetes as a numerical model;

an predicting means for predicting parameter values suited for a patient based on the diagnostic data and the biological model; and

a treatment simulating means for inputting the parameter values predicted by the predicting means to the biological model, and simulating the effects of the treatment by simulated execution of the treatment based on a hypothetical treatment policy.

12. The diagnostic support system for diabetes of claim 11, wherein the biological model has model structures common to each patient.

13. The diagnostic support system for diabetes of claim 11, wherein the predicting means predicts the parameter values of a biological model so as to produce agreement between the input diagnostic data and behavior of the living body recreated in the biological model.

14. The diagnostic support system for diabetes of claim 13, wherein the diagnostic data are a patient blood glucose level and a insulin concentration;

and the predicting means predicts the parameter values of a biological model so as to conform a blood glucose level and a insulin concentration of the biological model to the input blood glucose level and insulin concentration.

15. The diagnostic support system for diabetes of claim 11, wherein the biological model includes pancreas, liver, and peripheral tissue models, and the pancreas model represents insulin secretion, the liver model represents glucose uptake and production, and the peripheral tissue model represents glucose metabolism through insulin.

16. A computer-readable storage medium for recording a computer program which enables a computer provided with an input device and an output device to function as a diagnostic support system for diabetes, wherein the computer program comprises:

a step of receiving the input of diagnostic data which includes clinical testing data to the computer through the input device;

a step of, in the computer, predicting parameter values which are suited for a patient based on diagnostic data and a biological model having a predetermined parameter and which represents a organ function related to diabetes as a numerical model;

a step of, in the computer, analyzing a diabetic pathological condition of a patient based on the predicted parameter value;

a step of, in the computer, generating diagnostic support information based on the analyzed pathological condition; and

a step of, in the computer, outputting the generated diagnostic support information through the output device.

17. The storage medium of claim 16, wherein the biological model has model structures common to each patient.

18. The storage medium of claim 16, wherein the parameters corresponds to the pathological condition related to the treatment of diabetes.

19. The storage medium of claim 16, wherein the step of predicting the parameter values in the computer includes predicting the parameter values of a biological model in the computer so as to produce agreement between the input diagnostic data and the behavior of the living body recreated in the biological model.

20. The storage medium of claim 16, wherein the step of analyzing the pathological condition in the computer includes analyzing the pathological condition of each patient by comparing the parameter value characteristic of each patient with a predetermined normal range of the parameter value.