International medical expert diagnosis

• US 20080228040A1
• Filed: 03/16/2007
• Published: 09/18/2008
• Est. Priority Date: 03/16/2007
• Status: Abandoned Application

• Current Assignee: Arthur Solomon Thompson
• Original Assignee: Arthur Solomon Thompson
• Inventors: Thompson, Arthur Solomon
• Application Number:
  US11/723,138
• Publication Number:
  US 20080228040A1
• Time in Patent Office: Days
• US Class Current: 600/300
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G16H 10/20 for electronic clinical trials or questionnaires
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/63 for local operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

The delivery of services internationally has been stressful for consumers for several decades based on a lack of physical resources and increasing needs of individuals. Health care service delivery has been under close scrutiny since most countries cannot define viable alternatives to care for it population. Optimized Intelligent Search technology affords an opportunity to provide expert system caliber services on PDA and other computer platforms internationally based on leveraging unparalleled search capability, leveraging of decades of past history in seconds and provides optimized processes implementation for efficient use of resources.

Use of intelligent agent technology will provide a leveraging of existing resource to a vast number of people. Expert systems in coalition with the internet technology will provide search resources internationally to make health research accessible with the possibility of identifying agencies that have resources to help. The patent discusses the use of leveraging a frequency map in the diagnosis processes since the body is a frequency spectrum. Mapping frequencies to body components allow the enumeration of the power set of frequencies which are known behaviors since we know the base 200 body component frequencies. (2̂200) frequencies are known which are potential treatment strategies. Frequency entrainment of application of a restoring frequency to a distorted signal will provide relief in a number of health venues.

Claims

1. A method which leverages Personal Digital Assistant (PDA), internet and telecommunications technology infrastructure as a platform for decision support and case evaluation of a problem over a period of time, comprising of the steps of:

Inputting and processing irregular system data using a PDA device;

Configuring a knowledge base by selecting the appropriate set of entities corresponding to system errors as the knowledge base comprises a plurality of components which are evaluated as pass or fail, date of incident field and an additional metric called system visit count recording the number of times a component had a symptom or system incident.

Storing the knowledge base on the PDA leveraging decades of past history for proper assessment of present conditions;

Analysis of knowledge base metrics for proper system function is primary viewed as satisfying a search driven heuristic as there is partial information available which is incrementally updated by system questions and leveraging information from past history, a set of conditions match and collection of knowledge base basis objects which are mapped to frequency reading used as strategy to define system aberrations figure pp 7, 23, 24

3. A method defined in claim 1 providing a menu of body components on a PDA comprising a basis set of vectors of a specified problem domain, leveraging finite set design and reuse of system components, with system components evaluated as being acceptable or unacceptable, leveraging past history to determine the routing or next probable state based on collecting system feedback metrics. PDA has capability to compare statistics taken from globally derived profiles, since system uses body component frequency from MRI and other waveform technologies, since diagnosis is in the form of a power set of frequencies diagnosis spans an intractable number of treatment strategies using frequency entrainment or other frequency based measures, may be derivable addressing issues of bioterrorism. Frequency diagnosis and treatment strategy could greatly expand medical market overseas in markets where we would not have access, etc. (See figure) p 23, 24, 25

2. A method leveraging Personal Digital Assistant (PDA), internet and telecommunications technology infrastructure as a platform for decision support and medical evaluation of a patent over a period of time,

Inputting and processing symptoms from patients using a PDA device;

Configuring a knowledge base by selecting the appropriate set of symptom corresponding to the patient'"'"'s ailment as the knowledge base comprises a plurality of body components which are evaluated as pass or fail, date of incident field and an additional metric called system visit count recording the number of times a component had a symptom or system incident.

Storing the knowledge base on the PDA leveraging decades of past medical history for proper assessment of present conditions;

Analysis of knowledge base metrics for body wellness is primary viewed as satisfying a search driven heuristic as there is partial information available which is incrementally updated by system questions and leveraging information from past history

4. A method that defining an operating environment providing for expert systems services and advice based on exploiting minimum path and process technology defining an unparalleled search process, accomplish by removal of a piece from the game domain thereby also elimination all pattern associations with the said piece on the average removing an intractable no. of pattern, i.e. chess, FIG. 22 processing and leveraging of past history in seconds to accomplish an intelligent demeanor answering medical request and advice, in addition to mainstreaming health care internationally by addressing access and availability paradigm via PDA for health care and other service delivery mechanisms, hence facilitating close to minimum circuit and program code implementation accommodating small size of PDA by optimizing a collection of object per minimum path

5. A method of establishing optimized processes for Intelligent search by establishing a expert domain of basis vectors or objects whose linear combination spans a vector space as in the case of a piano, 88 keys span music orchestration space, as the said vectors are mapped to typically 200-1000 body components, as this ensemble comprises a list of objects which will be used to select various body symptoms or aberrations, as these components or vector undergo system cycles visit counts are record to define the propensity of a component to be visited based on prior logging of medical condition etc, as the frequency reading of the symptom component are record the commensurate frequency reading of body components are recorded for further processing and Diagnosis is provided after system questions and symptoms are documented.

6. A method to establish system treatment based on frequency related data from the diagnosis phase of IMED, as an MRI frequency chart of a human body components are used to establish the proper frequency level that may be used to design an ultrasound treatment plan. Knowing 200 frequency level actually defines 2̂

200 frequency levels and their known behaviors per combination expansion, as specifying frequency entrainment of aberrant signal should be definitive by knowing the frequency expansion of the basis vectors.

7. A method of defining a knowledge base comprised of a collection of body components along with their commensurate body systems, a series of system centric question derived from a summary of body components and corresponding body system, enumerated based on system visit count, reducing pattern space, as out of scope questions are retired. A medical method including the following fields:

Date, system visit count, body part, body system, body part state, complement, diagnosis, diagnosis leveraging past history, date of illness, method defining an anatomical system with cause of the problem, storing the consultation history database or electronic data record in a computer. See figure

8. A method leveraging set and set complement structures to define acceptable system states and aberrant system components, facilitating a strategy to simulate system acceptability and analyze corrective body states and symptoms on body components, facilitating a strategy to simulate body wellness states and analyze corrective frequency driven measures, using a set complement model which monitors the collection of state conditions deviating from the norm, using user input as a means of recording symptoms defining a tool which capture a collection of metrics or body component defining acceptable or unacceptable, 1 or 0 etc. (See figure) p 38,39

9. Body Component symptom interface and diagnosis module;

User will enter user-id and medical past history will be displayed

The system will ask the user to select the body components with symptoms from menu of 200 body components

System will store the symptom on the body component for later processing by input 0.

The system will inform the users of potentially different kinds of symptoms, system will provide additional question based on medical history to extract additional symptom information, questions are derived based on body component—

body system construction filtered by component visit count

After all information (medical history and current symptoms are upload the system will provide a diagnosis.

Treatment

Frequency information is calibrated from the symptom—

component frequency derived from an MRI component frequency table, data during the diagnosis phase and leveraged to develop a frequency driven input strategy to alleviate symptoms using a frequency treatment such as entrainment, the body can be viewed as a frequency spectrum considering body cells and body components therefore a frequency treatment approach to restoring full frequency oscillation harmony is adopted here .figure pp 22

10. The method define by medical process and procedures system recall based on graph architecture exploiting parent and child relationship fundamental scenario enumeration begins with a list of body component, the string 01011110111 or any other string has a specific set of children relationship serving as a strategy to store past history, each bit collection has a unique path which can be exploited to provide complex processes and procedures to specified path functions, medical recall of processes and procedures is enabled by establishing said basis vectors for the expert system and specifying the corresponding frequency for the body components, herein all diagnosis of 2̂

200 diagnosis scenarios and their commensurate treatment scenarios are derivable from this relationships since the finite collection defines explicitly the behavior of the entire domain space, every parent has a unique set of child paths which are totally See pp 21

11. A method defining set complement which identifies where information is located and provides the strategy to restore collection of missing data back to its original complete state, determines all missing data from the target set or basis set of objects, it is a set operation which keeps track of missing information and object location, in performing diagnosis or system analysis on a system we assume the initial state of homeostasis defines a well working collection of components, as system inconsistencies and flaws arise, the diagnosis process keeps track of all the original start states of the system, collects all the system aberrations or symptoms and identifies the set of objects which needs to be restored to make the system complete. The forte of the diagnosis process is the ability of keeping track of trillions of trillion of system states leveraging a search process that is fundamentally derived from the chess piece capture process. See figure pp 8, 38, 39

12. A method of analysis leveraging Optimized Intelligent Search via pattern reduction of the search domain through piece removal, search heuristic using piece removal an graph traversal strategy, leveraging decades of past history using a basis set of vectors spanning the problem domain, 88 piano keys, applying visit count to basis system to capture past history, implementing graph heuristic to optimize the processing of a collection of objects. FIGS. 40, 50, 52, accessing medical history in seconds is achieved by using a finite basis set which captures all states of a system in addition to recording system visit count which provides the necessary routing of past history to new medical conditions p 17, 19.

13. A medical record accessible from an electronic delivery PDA system providing patient'"'"'s easy access at a medical scene as system will be capable of leveraging many years of past history within a few seconds since the computer program data structure labels each component with a metric recording system visit count, as the time counter groups a collection of symptoms that occurred during the same period of time.

14. A method of obtaining feedback initially driven from patient observation assigning symptoms in medical software, medical support for calculating patient baseline and vital signs summary, mapping to illness or scheduled examination, use of blood, urine and vital signs analyzers facilitating a feedback strategy. The method defined instantiates intelligent behavior by the ability to leverage past history to make present decisions, apparently the survival of all intelligent things depends on the ability to remember past events within seconds and learn See figure pp 17, 25

See figure pp 32

15. A method facilitating optimized intelligent search leveraging the search power of base 2 which can find any pattern in the 10̂

20 search space˜

2̂

400 in 400 finite steps as approach provides the optimal path to each point or set of systems in the search domain establishing a reusable pattern space for system design, identifies frequency of body components from MRI by listing the body components with symptoms, using these groups of symptoms as a mechanism to provide a diagnosis and ultimately a treatment plan. figure pp 51 piece removal (chess) process or symptom identification strategy to gather the appropriate symptom defining the diagnosis, system visit count assists in identifying the correct routing parameters to diagnosis conditions, identifying chronic conditions could change overall diagnosis as piece removal process appears to be an unparallel process for reducing pattern space and has numerous applications to locate objects in a domain space, as removing an object divides the search space in half, as IPV6 application could easily leverage piece removal as a search heuristic. See figure pp 11, 50,53

16. A method of defining a Mathematical forum to model Critical Care operations settings or Jet fighter pilot game strategy, providing state space of human body component interactive processes based on the fact body components are a collections of various component systems, Fighter Jet Games architecture leverages all patterns and past history of combat scenarios, depicts optimized or games strategic moves, each node in this architecture has a parent and a set of children relationship, as this provides a forum to engage in an interactive fighter game. or a critical care analog of combating a life threatening condition, as the chess war strategy models many interactive game heuristic and should adapt well to the objectives of a critical care setting leveraging real-time past history, search and processing power to routing a state based on prior illness patterns. See figure pp 22, 45, 49

17. The method defined Classification:

will instantaneously classify objects that are 100 bits long however there is no practical limit to the length of the bit string to be evaluated. The Classification model is a collection of basis vectors that define human body parts. The appropriate symptoms are identified by changing a 1 to a zero on the affected body part. See figure pp 49, 51

18. A method providing for leveraging 200 body components facilitating 2̂

200 symptom patterns, mapped to 200 known frequencies provides for a known pattern space of 2̂

200 since leveraging a linear combination of 200 know base frequencies, Leverage Past history in seconds since as a collection of frequencies are selected their corresponding system visit count to the registered states are available. See figure pp 22 PowerPoint

19. Specification of an Expert System unparalleled search, leveraging past history, processing power, use of basis vectors to establish search space, define basis collection of objects to address search space, map collection of components to unit vectors. Select symptoms based on body components listed. Interact which question from component-system module to identify the most probable cause after all questions are answers and symptoms listed select diagnosis key see pp 7,8,12

20. Leveraging Memory for critical care procedures, processes and treatment strategy, diagnosis leverages collection of frequencies, facilitating a scalable frequency based treatment approach e.g. 2̂

200 combinations, automation of next step procedures based on feedback from International Medical Expert Diagnosis, string have optimal pattern children from graph enumeration used as a tool to respond dynamically to changing states in the body condition.

21. A method of providing System Problem solver services based on defining a collection of basis vectors assigned a plurality of objects, identifying inconsistencies or fault on said objects, tracking system visit count on objects, using object piece removal to reduce pattern space, ultimately arriving at a plausible cause based on object original configuration, set complement determines all missing data from the target set or basis set of objects, it is a set operation which keeps track of missing information and object location, in performing diagnosis or system analysis on a system we assume the initial state of equilibrium defines a well working collection of components as system inconsistencies and flaws arise, the complement process keeps track of all the original start states of the system, collects all the system aberrations identifies the set of objects which needs to be restored to make the system properly functional the forte of the complement process is the ability of keeping track of trillions of trillion of system states leveraging a search process that is fundamentally derived from the system visit count and piece capture process.

22. A method defining identifying expert system frame work for applications leveraging unparalleled search using piece removal i.e. capture chess diminishing pattern space, leveraging past history using a reusable set of basis vector spanning the target domain space tracking each object by system visit count and leveraging graph search heuristic for object classification, pattern processing and search location, with process for utilizing IPV06 network resources by leveraging object piece removal, leveraging of past history and strategy recall of operating events, expert framework uses different basis vectors but reuse the same search strategy and pass history process for routing search efforts, as interchangeability facilitates using the same expert shell to accomplish fulfill different application requirements. Figure pp 69,70,71,72, 73 which characteristics as follows:

Next Move Process A decision enumerating process which incorporates all past history and provides the optimal decision or ordered set of decisions with a very time sensitive strategy, example;

“

based on all available past history make the best tactical decision in a critical operating procedure next move seems to provide the base case for interactive intelligent communication since it uses a collection of basis vectors with their corresponding visit count to define past history,

Frequency Based model;

The OIS architecture provides the potential for optimal path routing of collection of objects, each collection of objects in a graph represents a different board configuration which actually represents simulated games played in a massively parallel strategy. The opponent can commence playing the games in a mini-max game strategy. The frequency based model for homeostasis leverages body component frequency integrity as a diagnosis and treatment strategy,

Scalability list or collection of bit vectors facilitating the expression and enumeration of large strings of objects. The OIS chess game architecture was based on a list of 32 unit vectors, the power set or list of all possible combinations of the 32 object results in 4 billion states, these 4 billion states represent the critical path of the traditional chess games which has 10̂

120 states the vast majority or 10̂

110 states are Markovian or routes to capture states. For the analysis of the game of optimal paths these Markovian states can be neglected, the list of unit vectors is part of the search strategy, compression strategy, flexible architecture and reusable system tool.

Expert System;

Problem Solver is an intelligent agent with a powerful architecture accommodating stealth search, object classification, object reuse, memory of past scenarios, extremely scalable and extendable communications, since objects and components are fundamentally collections, OIS defines it architecture in terms of an ordered collection of Basis vectors that span the target business model, applying a piece reduction, set complement or lattice search algorithm problems involving state space can be simulated and solved.

Operational Speed;

Game playing speed between OIS players could be in the 10s of Megahertz range based on the optimal path architecture there is a drastic pattern space reduction, this critical path is searched using graph search techniques;

piece reduction and set complement approaches think time for search is drastically reduced since optimized chess is a linear model.

Classification;

will instantaneously classify objects that are 100 bits long however there is no practical limit to the length of the bit string to be evaluated the Classification model is a collection of basis vectors that define human body parts. The appropriate symptoms are identified by changing a 1 to a zero on the affected body part, this ordered collection of symptoms and unaffected body parts form a search string in a database of other body symptom profiles, as new profiles are added to the database the form clusters of profiles with similar traits these cluster form a solution strategy for similar collection of bits.

Pattern Recognition;

will recognize virtually any string including the past game patterns on a trained lattice, including all appropriate visit counts to systems, evaluation is the length of the string e.g. 256 steps since the architecture processes only the optimal path of a process, this actually provides memory of past events.

Memory of Past Events The OIS architecture provides for remembering past scenarios or games since the traversal of the game graph takes the optimal path at system configuration each string has a unique path that it traverses visit count will ultimately route a string leveraging past medical history.

Reuse of systems;

fundamental design exploits the characteristic of a musical instrument, specifically a set of basis notes which are reused as songs are created.

Search;

There are two powerful search strategies used in the Medical Oracle for diagnosing patient conditions the complement of a set is used to determine the appropriate electric response to restoring a body signal pattern to the desired levels the piece reduction process is an elimination approach of discovering an aberrant collection and ideally a cause.

Complement Process;

takes a string representing an aberrant system behavior and establishes the restoring string profile integrating past history.

Piece Reduction Process;

a search process derived from chess capture rules, piece reduction affords a reduction of the enormous search space of chess and makes it feasible for the game to shrink to a size that checkmate can be realized each piece that is remove from chess eliminates thousands of trillions of relationships.

Interchangeability;

a design which allows different solutions to share the same GUI, processes, or architecture

Intelligent Agent;

application development environment to design and implement specialized search engines to acquire and process resources.

Learning Agent;

two players in OIS chess games can learn in the length of a bit profile string (100 bits) at speeds in the Megahertz level. (loan agent,

Troubleshooting agent, business analysis agent, medical diagnosis agent)

OIS Search Lattice per search lattice FIG. 101 depicting objects storage, retrieval, search strategy, zero critical information loss—

per visit count. on basis vectors this is analogous to remembering all capture states in a chess game (4 billion). The other 10̂

110 Markov states are not important since they are not repeatable and doesn'"'"'t represent a decision.

Data Compression using entropy or visit count and piece removal from the system FIG. 106. Estimated 50% data compression based on piece removal alone this is information loss however the information that is saved can re-establish information that can be learned

Intelligent behavior is the ability to Leverage past history to make present decisions it appears the survival of all intelligent things depends on the ability to find our way back to the goal state or learn. Losing the ability to leverage past history would be analogous to a person having a failure of the hippocampus rendering the creature helpless since it would have to learn everything all over again each day assuming there was some capacity for short term memory.

The Optimized Intelligent Architecture and all applications that use past history capture states to leverage making present decisions including the Medical Oracle medical expert system is the target of this process. All past history is not relevant here just as all moves in a chess game need not be remembered e.g. non reusable move the information that is considered past history is the decision points analogous to the capture states in a chess game.