METHOD AND APPARATUS FOR AUTOMATED DIFFERENTIATED DIAGNOSIS OF ILLNESS

• US 20090030290A1
• Filed: 07/14/2008
• Published: 01/29/2009
• Est. Priority Date: 07/23/2007
• Status: Abandoned Application

• Current Assignee: James E. Smith III, Michael J. Kozuch, Timothy A. Fate
• Original Assignee: James E. Smith III, Michael J. Kozuch, Timothy A. Fate
• Inventors: Fate, Timothy A., Smith, James E. III, Kozuch, Michael J.
• Application Number:
  US12/172,419
• Publication Number:
  US 20090030290A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

This method and apparatus for automated differential diagnosis of illness utilizes neural network technology to analyze information that has been collected and assimilated from multiple sources, including information concerning lifestyle and travel habits, occupational and environmental risks and other contributory factors, and compares this information to, and incorporates it into, databases, to render diagnoses as well as alerts regarding anomalous concentrations of illnesses. The invention has similar application in the area of mechanical maintenance and repair.

Claims

1. A method for automated differentiated diagnosis of anomalies in a subject, comprising:

acquiring information and indications about the subject—

including the subject'"'"'s individual, family and medical or other remedial history, plus physical, environmental, occupational and lifestyle information—

through interview and/or accessing subject records resident in a computer system, which computer system also incorporates and/or accesses databases on the familial, environmental and occupational factors relating to anomalies in such subjects, and further incorporates and/or accesses an artificial intelligence neural network;

outputting said information and indications to the computer system;

incorporating said information and indications into the subject records and databases and inputting them to the neural network;

having the neural network match said information and indications against the databases, with the neural network generating match probabilities for various diagnoses, probabilities and suggestions for remedial action based on the likelihood of these various diagnoses, probabilities and suggestions for remedial action corresponding to the information and indications, and thereby determining the likeliest one or more diagnoses, probabilities and suggestions for remedial action; and

having the neural network output these diagnoses, probabilities and suggestions for remedial action.

2. The method of claim 1, further comprising having the diagnoses, probabilities and suggestions for remedial action that are output by the neural network also incorporated into the databases.

3. The method of claim 1, further comprising measuring the subject'"'"'s vital signs and other machine-readable indications, and including the information derived from such measurement with the information outputted to the computer.

4. The method of claim 1, further comprising:

observation of the subject by skilled practitioners;

rendering of evaluation and diagnosis of the subject by said skilled practitioners; and

including such observations, evaluation and diagnosis along with the information and indications output to the computer system, incorporated into the subject records and databases and input to the neural network.

5. The method of claim 1, in which said computer system, in addition to incorporating and/or accessing databases on the familial, environmental and occupational factors relating to anomalies in such subjects, also incorporates and/or accesses databases on the treatment and remediation of such anomalies, such as medical dictionaries and other medical guides, and repair manuals.

6. An apparatus for automated differentiated diagnosis of anomalies in a subject, comprising:

a computer system which incorporates and/or accesses databases on the familial, environmental and occupational factors relating to anomalies in such subjects, and further incorporates and/or accesses an artificial intelligence neural network, into which computer system are fed information and indications about the subject—

including the subject'"'"'s individual, family and medical or other remedial history, plus physical, environmental, occupational and lifestyle information—

acquired through interview and/or accessing subject records resident in said computer system, with said computer system incorporating said information and indications into the subject records and databases and inputting them to the neural network;

the neural network matching said information and indications against the databases, with the neural network generating match probabilities for various diagnoses, probabilities and suggestions for remedial action based on the likelihood of these various diagnoses, probabilities and suggestions for remedial action corresponding to the information and indications, and thereby determining the likeliest one or more diagnoses, probabilities and suggestions for remedial action; and

the neural network outputting these diagnoses, probabilities and suggestions for remedial action.

7. The apparatus of claim 6, further comprising having said computer system incorporate into the databases the diagnoses, probabilities and suggestions for remedial action that are output by the neural network.

8. The apparatus of claim 6, in which the initial information and indications about the subject further comprise measurements of the subject'"'"'s vital signs and other machine-readable indications.

9. The apparatus of claim 6, in which the initial information and indications about the subject further comprise evaluation and diagnosis of the subject by skilled practitioners, rendered after observation of the subject by said skilled practitioners, with the computer system further including such observations, evaluation and diagnosis along with the information and indications output to the computer system, incorporated into the subject records and databases and input to the neural network.

10. The apparatus of claim 6, in which said computer system, in addition to incorporating and/or accessing databases on the familial, environmental and occupational factors relating to anomalies in such subjects, also incorporates and/or accesses databases on the treatment and remediation of such anomalies, such as medical dictionaries and other medical guides and repair manuals.