Nosologic system of diagnosis

• US 7,613,343 B2
• Filed: 08/27/2008
• Issued: 11/03/2009
• Est. Priority Date: 12/01/2004
• Status: Active Grant

• Current Assignee: Kilimanjaro Partnership
• Original Assignee: Kilimanjaro Partnership
• Inventors: David, Ronald B.
• Primary Examiner(s): Mariam; Daniel G
• Application Number:
  US12/199,274
• Publication Number:
  US 20090083068A1
• Time in Patent Office: 433 Days
• Field of Search: 382/128, 382/133, 382/159, 382/224, 382/305, 600/9, 600/300, 707/7
• US Class Current: 382/224
• 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: G16H 70/60 relating to pathologies
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Nosologic classification of diseases is accessible on line in a computer system. A computer data base has records of discriminating features, consistent features and variable features of known afflictions. The features are in classification domains which include a phenomenologically classified domain, classified by listing commonly agreed on observations and distinguishing between entities based on these observations. Other classification domains are anatomically classified, pathologically classified by the gross of microscopic pathologic anatomy, revealed by either traditional pathologic study or imaging. One of the classification domains is pathophysiologically, by demonstrating altered chemical or electrophysiological parameters. At least one of the classification domains is classified ethiologically by cause.

Claims

1. A method of diagnosing a patient comprising:

testing said patient to determine features of his affliction;

accessing a computer database of records of discriminating features of known afflictions, said records being arranged nosologically in classification domains;

inputting to a computer the features of said patient'"'"'s affliction as determined by said testing; and

analyzing at least one of said classification domains in said database and said features of said patient'"'"'s affliction to determine the singular affliction that is distinguished from other afflictions by said features of said patient'"'"'s affliction.