Knowledge tree medical enablement

• US 6,807,492 B2
• Filed: 07/09/2001
• Issued: 10/19/2004
• Est. Priority Date: 04/11/2000
• Status: Expired due to Fees

• Current Assignee: Insyst, Ltd. (Advanced Emissions Solutions, Inc.)
• Original Assignee: Insyst, Ltd. (Advanced Emissions Solutions, Inc.)
• Inventors: Hartman, Yehuda, Oren, Avraham, Fisher, Yossi
• Primary Examiner(s): Marschel, Ardin H.
• Assistant Examiner(s): Smith, Carolyn L.
• Application Number:
  US09/900,491
• Publication Number:
  US 20020022931A1
• Time in Patent Office: 1,198 Days
• Field of Search: 702/23, 703/2, 703/11, 435/6, 435/7.1
• US Class Current: 702/23
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0629 for generating comparisons

Abstract

An automated modeler for modeling of an interactive system comprising at least one biological entity and at least one pharmaceutical substance, the system comprising, a representation of states of said system, a knowledge tree builder, associated with said representation for allowing users to define the states, expected relationships between said states and independent inputs to the states, and a data miner associated with said representation to operate on data taken from said system to apply said data to said states in accordance with said defined relationships and inputs, thereby to apply numerical values to said relationships and said inputs, thereby to model said interactions.

Claims

1. A system for predicting likely liver toxicity as a side effect of application of a pharmaceutical substance, the system comprising:

an input device for obtaining blood levels of ALT and AST respectively,

a comparator, associated with said input device for comparing said respective levels of ALT (alanine aminotranferase) and AST (aspartate aminotransferase) to produce a ratio of said levels,

a predictor associated both with said input device and said comparator, and including a statistical model, for predicting, from application of said levels and said ratio therebetween to said statistical model, a likelihood of development of liver toxicity, said predictor set to conclude from low ALT and AST levels and a ratio close to 1, that a likelihood of development of liver toxicity is low, and

a thresholder for setting a threshold likelihood, above which application of said pharmaceutical substance is to be discontinued.