Method of Capturing and Evaluation Uncertainty in Computerized Intelligent Systems for Medical Diagnosis

• US 20190326016A1
• Filed: 04/18/2018
• Published: 10/24/2019
• Est. Priority Date: 04/18/2018
• Status: Abandoned Application

• Current Assignee: Pitchaiah Mandava, Thomas Andrew Kent
• Original Assignee: Pitchaiah Mandava, Thomas Andrew Kent
• Inventors: Kent, Thomas Andrew, Mandava, Pitchaiah
• Application Number:
  US15/956,432
• Publication Number:
  US 20190326016A1
• Time in Patent Office: Days
• 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 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 50/30 for calculating health indices; for individual health risk assessment
• CPC Class Codes: G16H 80/00 ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Abstract

A method of collecting data as well as the uncertainty of that data for use in a computation intelligent system for use in distinguishing between a plurality of outcomes and discounting the probability of each outcome through a Bayesian theorem application of uncertainty in contributory elements for each outcome.

Claims

1. A method of rendering a medical diagnosis with a computational intelligent system comprising:

capturing current illness data from a patient;

capturing history data from the patient;

capturing additional pertinent patient informational data from the patient;

assessing reliability of data collected from the patient;

utilizing a subset of the data collected to query a database for a one or more possible diagnosis solutions matching the subset;

determining a probability of each solutions being the final solution;

discounting the probability in accordance with the reliability of data in the subset.

2. A method, as described in claim 1 wherein assessing reliability of data collected from a patient comprises asking the patient for a reliability level from a predefined scale.

3. A method, as described in claim 1 wherein assessing reliability of data collected from a patient comprises comparing data supplied by the patient to known data located from another source.

4. A method, as described in claim 1 wherein the subset of data collected comprises data associated with reliability levels above a threshold value.

5. A method, as described in claim 1 wherein discounting the probability in accordance with the reliability of data in the subset comprises applying a Bayesian theorem to each probability for one or more data in the subset having a reliability assessed.

6. A method, as described in claim 1 further comprising, before utilizing a subset of the data:

the patient receiving a physical exam from a clinician;

wherein the physical exam comprises, in addition to the physical examination;

an interview with the patient,

clinician observation of patient, and

clinician conducting interactive test on/with the patient;

capturing interview data from clinicians;

capturing observation data from clinicians;

capturing results of interactive test and a physical exam of the patient from clinicians;

assessing reliability of data collected from the clinicians.

7. A method, as described in claim 6 wherein assessing reliability of data collected from the clinicians, further comprises collecting a reliability of patient data determined by clinician'"'"'s assessment of a patient'"'"'s withholding or noncompliance.

8. A method, as described in claim 7 wherein assessing reliability of data collected from the clinicians, further comprises collecting a reliability of patient data determined by clinician'"'"'s assessment of if a patient'"'"'s withholding or noncompliance is intentional or unintentional.

9. A method, as described in claim 6 wherein assessing reliability of data collected from the clinicians, further comprises determining clinician'"'"'s confidence level and/or familiarity with suspected illnesses.

10. A method, as described in claim 1 further comprising, before utilizing a subset of the data:

the patient receiving one or more diagnostic test from a diagnostician;

wherein the diagnostic test comprise one or more of;

x-ray, MRI, CT-Scan, EKG, specimen collection, and/or lab work wherein the diagnostic test further comprise one or more of the following;

reports, interpretation, readings, expert analysis, test results, images, and lab results (together referred to as diagnostic results);

capturing diagnostic results;

capturing reliability data of diagnostic test;

capturing reliability of diagnostician;

assessing reliability of data collected from diagnostic test;

assessing reliability of diagnosticians.

11. A method, as described in claim 10 wherein capturing reliability of data of diagnostic test comprises assessing one or more of the following:

contrast issues, bad angles of image, inferior equipment, equipment'"'"'s need for calibration and/or alignment.

12. A method, as described in claim 10 wherein assessing reliability of diagnostician comprises:

determining diagnosticians confidence level in the specific test performed and the results and/or determinations made; and

assessing experience of diagnostician with the specific diagnostic test performed.

13. A method, as described in claim 1 wherein discounting the probability in accordance with the reliability of data in the subset comprises:

determining data of the subset utilized to query the database for one or more possible diagnosis solutions;

determining reliability of data collected;

discounting the probability of each solutions being the final solutions by applying Bayesian theorem to each probability for the reliability of each data utilized to query the possible diagnosis.

14. A method, as described in claim 13 further comprising presenting the one or more possible diagnosis solutions, along with the discounted probabilities associated with each possible diagnosis as a final determination of the system.

15. A method of rendering a medical diagnosis comprising:

having an application;

capturing current illness data from an application user;

capturing history data from the user;

capturing additional pertinent informational data from the user;

assessing reliability of data collected from the user;

utilizing a subset of the data collected to query a database for a one or more possible diagnosis solutions matching the subset;

determining a probability of each solutions being the final solution;

discounting the probability in accordance with the reliability of data in the subset.

16. A method, as described in claim 15 wherein assessing reliability of data collected from a user comprises asking the user for a reliability level from a predefined scale.

17. A method, as described in claim 15 wherein capturing current illness data from a user further comprises:

presenting the user with input screens focused on the current illness, and/or probable symptoms as determined by analysis of previously entered current illness data.

18. A method, as described in claim 17 wherein input screens focused on the current illness, and or probable symptoms are configured with inquiries which distinguish between one or more possible diagnosis solutions.

19. A method, as described in claim 15 wherein the application is a website.

20. A method, as described in claim 15 wherein the application:

saves user data to files;

loads user data from files; and

accepts edits of data from user prior to querying a database.