Personalized modeling system

• US 20090313041A1
• Filed: 08/23/2009
• Published: 12/17/2009
• Est. Priority Date: 12/10/2002
• Status: Abandoned Application

• Current Assignee: Square Halt Solutions Limited Liability Company (Intellectual Ventures LLC), Jeffrey Eder
• Original Assignee: Jeffrey Eder
• Inventors: Eder, Jeffrey Scott
• Application Number:
  US12/545,851
• Publication Number:
  US 20090313041A1
• Time in Patent Office: Days
• US Class Current: 705/2
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06Q 40/06 Asset management; Financial planning or analysis
• CPC Class Codes: G16H 15/00 ICT specially adapted for medical reports, e.g. generation or transmission thereof
• 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: Y10S 707/99945 Object-oriented database structure processing

Abstract

A method, program storage device and system for developing a Personalized Modeling System (100) for an individual or group of individuals that automates the operation, customization and coordination of computer systems, software, products, services, data and/or devices.

Claims

1. A personalized planning method, comprising:

preparing data from a plurality of subject related systems for use in processing,

defining a subject using at least a portion of said data and a plurality of user input,

analyzing said data as required to define and store a context for a health of said subject,

using said context to forecast a sustainable longevity for the subject and a resource requirement forecast for the subject given said longevity, and

output said forecast longevity and resource requirement forecast.

2. The method of claim 1, wherein a context for the health of a subject comprises two or more aspects of a complete context for a health of said subject selected from the group consisting of a reference frame context, a resource context, an element context, an environment context, a measure context, a lexical context, a relationship context, a transaction context and combinations thereof.

3. The method of claim 1, wherein a subject comprises an individual, an individual and his or her immediate family or an individual and his or her extended family.

4. The method of claim 1, wherein the method further comprises:

obtaining data from a plurality of sources that identify one or more securities that are available for purchase from one or more security markets in a format suitable for use in processing where said data identifies a price history of each of the one or more securities and a financial performance history for each of the one or more entities that issued each security,

creating a context model for each security in each of the one or more markets where said price history data and financial performance history data is available by analyzing the data related to each security and market, and

identifying and presenting a list of optimal investments for meeting the resource requirements of the subject under different scenarios by using the security context models to simulate future market conditions under each scenario.

5. The method of claim 4, wherein a list of optimal investments is adjusted to reflect a risk tolerance or an investment preference provided by the subject.

6. The method of claim 4, wherein a context model for each security comprises a context model for a market sentiment contribution to a security value.

7. The method of claim 4, wherein a list of optimal investments is adjusted to reflect a risk tolerance and an investment preference provided by the subject.

8. A program storage device readable by a computer, tangibly embodying a program of instructions executable by a computer to perform a personalized planning method, comprising:

preparing data from a plurality of subject related systems for use in processing,

defining a subject using at least a portion of said data and a plurality of user input,

analyzing said data as required to define and store a context for a health of said subject,

using said context for the health of said subject to forecast a sustainable longevity for the subject and a resource requirement forecast for the subject given said longevity, and

output said forecast longevity and resource requirement forecast.

9. The program storage device of claim 8, wherein a context for the health of a subject comprises three or more aspects of a complete context for a health of said subject selected from the group consisting of a reference frame context, a resource context, an element context, an environment context, a measure context, a lexical context, a relationship context, a transaction context and combinations thereof.

10. The program storage device of claim 8, wherein a subject comprises an individual, an individual and his or her immediate family or an individual and his or her extended family.

11. The program storage device of claim 8, wherein the method further comprises:

obtaining data from a plurality of sources that identify one or more securities that are available for purchase from one or more security markets in a format suitable for use in processing where said data identifies a price history of each of the one or more securities and a financial performance history for each of the one or more entities that issued each security,

creating a context model for each security in each of the one or more markets where said price history data and financial performance history data is available by analyzing the data related to each security and market, and

identifying and presenting a list of optimal investments for meeting the resource requirements of the subject under different scenarios by using the security context models to simulate future market conditions under each scenario.

12. The program storage device of claim 11, wherein a list of optimal investments is adjusted to reflect a risk tolerance or an investment preference provided by the subject.

13. The program storage device of claim 11, wherein a context model for each security comprises a dynamic relationship layer.

14. A system for translational research analysis, comprising:

a computer with a processor having circuitry to execute instructions;

a storage device available to said processor with sequences of instructions stored therein, which when executed cause the processor to;

prepare data from a plurality of subject related systems for use in processing,

define a subject using at least a portion of said data and a plurality of user input,

analyze at least a portion of said data as required to define and store a context for a health of said subject,

obtain data identifying an expected impact of a research discovery or a best practice on the health of a subject,

use said context for the health of said subject to simulate the impact of said research discovery or best practice on the sustainable longevity of the subject and the resource requirements for the subject given said longevity, and

report the results of said simulation.

15. The system of claim 14, wherein a causal predictive model for one or more health measures of a subject comprises one or more aspects of a complete context for a health of said subject selected from the group consisting of a reference frame context, a resource context, an element context, an environment context, a measure context, a lexical context, a relationship context, a transaction context and combinations thereof.

16. The system of claim 14, wherein a subject is a patient, two or more patients or a plurality of patients.

17. The system of claim 14, wherein identifying an expected impact of a research discovery or a best practice on the health of a subject comprises providing data regarding the expected impact using a universal context specification.

18. The system of claim 14, wherein the method further comprises:

obtain data identifying an expected impact of each of a plurality of research discoveries and each of a plurality of best practices on the health of a subject,

use said context to simulate the impact of said research discoveries and best practices on the sustainable longevity of the subject and the resource requirements for the subject given said longevity, and

analyze the results of said simulation in order to identify and display an optimal set of research discoveries and best practices that should be translated and put into practice.

19. The system of claim 18, wherein a subject is a patient, two or more patients or a plurality of patients.

20. The system of claim 18, wherein identifying an expected impact of a plurality of research discoveries and a plurality of best practices on the health of a subject comprises providing data regarding the expected impacts using a universal context specification.