Method and system for data evaluation, corresponding computer program product, and corresponding computer-readable storage medium

• US 20040236723A1
• Filed: 07/15/2004
• Published: 11/25/2004
• Est. Priority Date: 08/30/2001
• Status: Abandoned Application

• Current Assignee: Europroteome AG
• Original Assignee: Europroteome AG
• Inventors: Reymond, Marc Andre
• Application Number:
  US10/488,165
• Publication Number:
  US 20040236723A1
• Time in Patent Office: Days
• US Class Current: 707/2
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: Y02A 90/10 Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The invention relates to a method and a system for data evaluation, to a corresponding computer program product, and to a corresponding computer-readable storage medium, which can be especially used as an internet-based, patient-specific prognosis system. In this case, clinical, pathological and molecular biological data can be integrated, and said data can be combined with relevant prognoses for a particular patient. The system thus enables an oncologist, for example, to decide on an individual treatment on the basis of a specific information pattern. The quality of the prognosis is improved by determining significant and secondary variables, leading to a clear reduction in the quantity of data to be evaluated, to the acceleration of the data evaluation and to the improvement of the prognosis.

Claims

1. Process for data evaluation with use of data processing devices that are coupled to databases, characterized in that the query data fed to the data processing device are analyzed by ensuring that the data that are stored in the database(s) are obtained according to rules that can be specified in advance and/or corresponding to the query data with artificial intelligence procedures, the quality of these corresponding data is evaluated automatically, and based on this evaluation, the related query data and/or corresponding data automatically determine for the query the significance of these query data and/or corresponding data, and the results of the evaluation, the evaluation of the quality, and/or the significance of the data is output and/or provided in a form that is ready for recall.

2. Process according to claim 1, wherein the data evaluation generates medical prognoses and the query data are fed to the data-processing device as clinical-pathological data by a physician and/or as biomolecular data by an analysis laboratory.

3. Process according to claim 1, wherein the query data and/or the data that are stored in the database(s) are considered

disease-related factors and/or

patient-specific factors and/or

environment-specific factors.

4. Process according to claim 1, wherein an updating of the empirical data stored in the database(s) is carried out by having data on the therapy and the course of the disease be fed to the data processing device in cases forecast by the data processing device.

5. Process according to claim 1, wherein an updating of the evaluation instructions in an iterative learning process is carried out, in which queries, query data, used in the evaluation of queries, data stored in the database(s), results of the evaluation and events actually occurring are considered.

6. Process according to claim 1, wherein based on the evaluation, the amount of the data that is stored in the database(s) is reduced.

7. Process according to claim 1, wherein based on the significance, the number of query data to be supplied and/or the amount of the data that is stored in the database(s) is reduced.

8. Process according to claim 1, wherein the evaluation by

cluster analysis, and/or

similarity search, and/or

tendency analysis, and/or

correspondence analysis, and/or

rising hierarchical classification, and/or

main analysis, and/or

wavelet analysis

is carried out in connection with probability values that are generated from error models and/or agents of artificial intelligence, such as

neuronal networks and/or

rule-based systems.

9. Process according to claim 1, wherein the data evaluation comprises the determination of the initial probability of events referred to by the query and/or by the corresponding data.

10. Process according to claim 1, wherein the significance of data is determined such that a query is evaluated a first time without considering this data and a second time while considering this data, the evaluations of the results of these two evaluations are compared to one another, and the measurement of the influence of the data relative to an improvement or a worsening of the second evaluation relative to the first evaluation is determined.

11. Process according to claim 10, wherein in the case of an improvement of the second evaluation compared to the first evaluation, the data are regarded as significant, and are considered in future evaluations,

in the case of a worsening of the second evaluation compared to the first evaluation, the data are regarded as not significant and are no longer used for future evaluations.

12. Process according to claim 1, wherein the supply of data, the queries and/or the release of the results is carried out over the Internet.

15. Computer program product, which comprises a computer-readable storage medium, on which a program is stored, which makes it possible for a computer, after it has been stored in the memory of the computer, to perform a process for data evaluation, whereby the data evaluation comprises the process steps according to claim 1.

16. Computer-readable storage medium, on which a program is stored, which makes it possible for a computer, after it has been stored in the memory of the computer, to perform a process for data evaluation, whereby the data evaluation comprises the process steps according to claim 1.

17. Use of a process according to claim 1 for

evaluating clinical, pathological and/or molecular-genetic data,

determining the prognostic significance of clinical, pathological and/or molecular-genetic data,

selection of molecular targets,

estimating the individual risk, such as, for example, the risk of metastasizing of individual patients,

estimating the probability of the therapeutic response to, e.g., chemotherapy agents and/or

automatic generation of prognostic and/or therapy proposals.

18. Data, genes, molecular and/or genetic targets, which are made available by a process according to claim 1, by an arrangement according to the present invention, by a computer program product according to the present invention, by a computer-readable storage medium according to the present invention or a use according to the present invention.

19. Production process for diagnostic arrangements that comprises the steps of a process according to claim 1 and one additional step, in which a diagnostically effective analytical tool, such as, e.g., an RNA chip or a protein chip and/or a combination of genes, which were made available by a process according to the present invention, by an arrangement according to the present invention, by a computer program product according to the present invention, by a computer-readable storage medium 16 or a use according to the present invention, is put together.

20. Use of genes or combinations of genes, which were made available by a process according to claim 1, by an arrangement according to the present invention, by a computer program product according to the present invention, by a computer-readable storage medium according to the present invention or a use according to the present invention, for the preparation of a diagnostic compilation for classification of genetically induced diseases, tumors, i.a., and/or for predicting genetically induced diseases and/or for combining molecular-genetic parameters with clinical parameters and/or for identification of tumors by gene expression profiles.

21. Carrier elements, on which data, genes, molecular and/or genetic targets are provided, which are made available by a process according to claim 1, by an arrangement according to the present invention, by a computer program product according to the present invention, by a computer-readable storage medium according to the present invention or a use according to the present invention.

22. Carrier element according to claim 21, wherein the carrier element is designed as a chip, and provides

data regarding individual risk, such as, e.g., metastasizing potential, and/or

data on the therapeutic response to, e.g., chemotherapy agents and/or

data for patient metabolism and/or

information on autoimmunity, e.g., anti-tumor autoimmunity.

23. Carrier element according to claim 22, wherein the number of data provided on the carrier element does not exceed one hundred.

24. Carrier element according to claim 22, wherein the carrier element is designed as a reproducible chip.

25. Method for using a system for data evaluation according to claim 1, wherein the access to the system is made possible by a PIN that is subject to fees, whereby the PIN is associated with agents for detecting data that is to be input into the system and/or with agents for detecting material that is used to determine the data that is being input, and the user acquires the PIN by paying a fee.

26. Method according to claim 25, wherein the user acquires the PIN together with the agent(s) for detecting the data and/or the material when buying this (these) agent(s).

27. Method according to claim 25, wherein a PIN is linked to data that can be specified in advance and that is stored in the system, and the PIN only facilitates access to the latter with its linked data.

28. Method according to claim 25, wherein a distributor of the system for data evaluation reaches an agreement of use with at least one customer, and the customer(s) makes (make) the system usable for additional subscribers by issuing PINs that are subject to fees.

29. Method according to one of claims 25 to 28 claim 25, wherein

referral laboratories, and/or

pharmaceutical firms and/or

content providers

use the system for data evaluation as customers.

30. Method according to claim 25, wherein the fees for the use of the system for data evaluation are raised from the customers and are collected

for each use and/or

as a percentage in the sales that the customer makes with the system and/or

per PIN that is issued.

31. Method according to claim 25, wherein an agent for detecting material is a carrier chip for the samples that are required in a laboratory test—

that can be reproduced, if necessary—

such as, e.g., a DNA-microarray.

32. Method according to claim 25, wherein a user of the system for data evaluation acquires the PIN from a distributor of the system or from a customer of the operator.

33. Use of a system for data evaluation according to claim 1 for implementing profit or non-profit actions by physicians, claim 1 for implementing profit or non-profit actions by physicians, patients and/or firms that operate the system.

34. Use of a system for data evaluation according to claim 33, wherein an action is initiated by

subscribers and/or

suppliers

of the system.

35. Use of a system for data evaluation according to claim 33, wherein an action comprises

the development, maintenance, and/or marketing of an excellence network and/or

the distribution of therapies and/or

the selection of patient groups for clinical studies.

13. Arrangement with at least one processor, which is (are) set up such that a process for data evaluation can be performed, whereby the query data that are fed to the data processing device are analyzed by ensuring that the data that are stored in the database(s) are obtained according to rules that can be specified in advance and/or corresponding to the query data with artificial intelligence procedures,

the quality of these corresponding data is evaluated automatically,

and based on this evaluation, the related query data and/or corresponding data automatically determine for the query the significance of these query data and/or corresponding data, and the results of the evaluation, the evaluation of the quality, and/or the significance of the data is output and/or provided in a form that is ready for recall.

14. Arrangement according to claim 13, characterized by

at least one data processing device that is coupled to at least one database,

agent for data input and/or data output,

agent working according to rules that can be specified in advance and/or with artificial intelligence procedures for determining data that corresponds to query data fed to a data processing device and stored in the database(s),

agent for automatic evaluation of the quality of the corresponding data,

agent for automatic determination of the significance of the query data and/or corresponding data for a query.