Treatment effect prediction system, a treatment effect prediction method, and a computer program product thereof

• US 20060265136A1
• Filed: 05/11/2006
• Published: 11/23/2006
• Est. Priority Date: 05/12/2005
• Status: Active Grant

• Current Assignee: Sysmex Corporation
• Original Assignee: Sysmex Corporation
• Inventors: Kouchi, Yasuhiro, Seike, Masayoshi, Saitou, Takeo
• Granted Patent: US 8,793,144 B2
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: G16B 25/00 ICT specially adapted for hybridisation; ICT specially adapted for gene or protein expression
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• 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
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16H 70/60 relating to pathologies

Abstract

A treatment effect prediction system, comprising: a processor; and a memory, under control of the processor, including instructions enabling the processor to carry out operations comprising: determining a patient pathological condition information, which represents a feature of pathological condition of a patient, based on diagnostic data of the patient; accessing a database of stored pathological condition information and corresponding treatment effects occurring when predetermined treatment is provided; and retrieving, from the database, a specific treatment effect corresponding to the one of the stored pathological condition information that is similar to the patient pathological condition information, is disclosed. A treatment effect prediction method and a computer program product thereof are also disclosed.

Claims

1. A treatment effect prediction system, comprising:

pathological condition information obtaining means for obtaining patient pathological condition information which is generated from diagnostic data of a patient and represents a feature of pathological condition of the patient;

finding means for finding stored pathological condition information which is similar to the patient pathological condition information obtained by the pathological condition information obtaining means, from a database which stores the stored pathological condition information and a corresponding treatment effect occurring when predetermined treatment is provided; and

treatment effect obtaining means for obtaining the treatment effect which corresponds to the stored pathological condition information found by the finding means from the database.

2. The treatment effect prediction system of claim 1, further comprising

input means for receiving the diagnostic data of the patient, the pathological condition information obtaining means obtaining the patient pathological condition information based on the diagnostic data received by the input means.

3. The treatment effect prediction system of claim 1,

wherein the pathological condition information obtaining means comprises

biological model driving means for simulating a behavior of a living body using a biological model in which an organ function is represented by a numerical model which has a plurality of parameter;

parameter obtaining means for obtaining a parameter which is suitable for the patient from the biological model based on the diagnostic data; and

pathological condition information generating means for generating the patient pathological condition information based on the parameter obtained by the parameter obtaining means.

4. The treatment effect prediction system of claim 1,

wherein the database stores a temporal change information of pathological condition occurring when the predetermined treatment is provided, the treatment effect prediction system being capable of obtaining the temporal change information.

5. The treatment effect prediction system of claim 1,

wherein the stored pathological condition information and the predetermined treatment relate to diabetes.

6. The treatment effect prediction system of claim 5,

wherein the stored pathological condition information comprises at least one of information representing insulin secretory defect, information representing peripheral insulin resistance, information representing impaired peripheral glucose uptake, information representing impaired hepatic glucose uptake, and information representing excessive hepatic glucose release.

7. The treatment effect prediction system of claim 1, further comprising

display means for classifying the treatment effect into a plurality of divisions depending on degree of the effect and displaying the divisions with frequency or rate of appearance of each division.

8. A treatment effect prediction system, comprising:

a processor; and

a memory, under control of the processor, including instructions enabling the processor to carry out operations comprising;

determining a patient pathological condition information, which represents a feature of pathological condition of a patient, based on diagnostic data of the patient;

accessing a database of stored pathological condition information and corresponding treatment effects occurring when predetermined treatment is provided; and

retrieving, from the database, a specific treatment effect corresponding to the one of the stored pathological condition information that is similar to the patient pathological condition information.

9. The treatment effect prediction system of claim 8, further comprising

an input device;

wherein the operations further comprise receiving the diagnostic data via the input device.

10. The treatment effect prediction system of claim 8, wherein the operation of the determining comprises:

simulating a behavior of a living body using a biological model in which an organ function is represented by a numerical model which has a plurality of parameter;

obtaining a parameter which is suitable for the patient from the biological model based on the diagnostic data; and

generating the patient pathological condition information based on the parameter.

11. The treatment effect prediction system of claim 8,

wherein the database stores a temporal change information of pathological condition occurring when the predetermined treatment is provided,

and the operations further comprise

obtaining the temporal change information from the database.

12. The treatment effect prediction system of claim 8,

wherein the stored pathological condition information and the predetermined treatment relate to diabetes.

13. The treatment effect prediction system of claim 12,

wherein the stored pathological condition information comprises at least one of information representing insulin secretory defect, information representing peripheral insulin resistance, information representing impaired peripheral glucose uptake, information representing impaired hepatic glucose uptake, and information representing excessive hepatic glucose release.

14. The treatment effect prediction system of claim 8, further comprising

a display device;

wherein the operations further comprise;

classifying the treatment effect into a plurality of divisions depending on degree of the effect; and

displaying the divisions with frequency or rate of appearance of each division on the display device.

15. A treatment effect prediction method, comprising:

determining a patient pathological condition information, which represents a feature of pathological condition of a patient, based on diagnostic data of the patient;

accessing a database of stored pathological condition information and corresponding treatment effects occurring when predetermined treatment is provided; and

retrieving, from the database, a specific treatment effect corresponding to the one of the stored pathological condition information that is similar to the patient pathological condition information.

16. A computer program product for the prediction of treatment effects, comprising:

a computer readable medium; and

computer instructions, on the computer readable medium, for enabling a computer to perform the operation of;

determining a patient pathological condition information, which represents a feature of pathological condition of a patient, based on diagnostic data of the patient;

accessing a database of stored pathological condition information and corresponding treatment effects occurring when predetermined treatment is provided; and

retrieving, from the database, a specific treatment effect corresponding to the one of the stored pathological condition information that is similar to the patient pathological condition information.

17. The computer program product of claim 16, wherein the operation of determining comprises:

simulating a behavior of a living body using a biological model in which an organ function is represented by a numerical model which has a plurality of parameter;

obtaining a parameter which is suitable for the patient from the biological model based on the diagnostic data; and

generating the patient pathological condition information based on the parameter.

18. The computer program product of claim 16,

wherein the database stores a temporal change information of pathological condition occurring when the predetermined treatment is provided,

and the operations further comprise

obtaining the temporal change information from the database.

19. The computer program product of claim 16,

wherein the stored pathological condition information and the predetermined treatment relate to diabetes.

20. The computer program product of claim 16,

wherein the operations further comprising:

classifying the treatment effect into a plurality of divisions depending on degree of the effect; and

displaying the divisions with frequency or rate of appearance of each division.