Method of processing biological analysis data and expert system of biological analysis applying this method

• US 20060235623A1
• Filed: 04/05/2006
• Published: 10/19/2006
• Est. Priority Date: 01/19/2001
• Status: Abandoned Application

• Current Assignee: IPPM Holding S A
• Original Assignee: IPPM Holding S A
• Inventors: Chapy, Lionel, Rambaud, Patrick
• Application Number:
  US11/397,631
• Publication Number:
  US 20060235623A1
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: G16B 40/00 ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding

Abstract

Expert system of biological analysis includes comprising: a collecting engine to collect and represent data resulting from biological measurements carried out on a human or animal subject and defining a biological profile, and personal data relating to the human or animal subject.

Claims

1. Expert system for processing biological analysis data, comprising:

a collecting engine to collect and represent, in the form of a set of groups of items, data resulting from biological measurements carried out on a human or animal subject and defining a biological profile, and personal data relating to the said human or animal subject,

a set of several groups of pre-established rules;

an inference engine to issue a set of conclusions by applying at least one group of the said set of groups of rules to;

at least one group of items selected from the said set of groups of items; and

/or

at least one former set of conclusions issued by said inference engine,

wherein it also comprises a gathering engine to minimize the number of conclusions in the said set of conclusions issued by the said inference engine.

2. Expert system according to claim 1, further comprising a genetic data collecting engine collecting data relating to the genetic profile of the said human or animal subject in the form of genetic items, said genetic data collecting engine also comprising a set of rules for the interpretation of the said genetic data.

3. Expert system according to claim 1, wherein said collecting engine, said set of several groups of pre-established rules, said inference engine and said gathering engine are integrated into an automated system including operations determining a biological and a genetic profile of a patient.

4. Expert system according to claim 1, further comprising a coupled knowledge base.

5. Expert system according to claim 1, wherein the biological profile includes a protein profile.

6. Expert system according to claim 1, wherein the biological profile includes a lymphocyte typing.

7. Expert system of biological analysis, comprising computer executable instructions defining:

a collecting engine to collect and represent, in the form of a set of groups of items, data resulting from biological measurements carried out on a human or animal subject and defining a biological profile, and personal data relating to the said human or animal subject,

a set of several groups of pre-established rules;

an inference engine to issue a set of conclusions by applying at least one group of the said set of groups of rules to;

at least one group of items selected from the said set of groups of items; and

/or

at least one former set of conclusions issued by said inference engine,

wherein it also comprises a gathering engine to minimize the number of conclusions in the said set of conclusions issued by the said inference engine.

8. Method for processing biological analysis data, comprising:

collecting and representing, in the form of a set of groups of items, data resulting from biological measurements carried out on a human or animal subject and defining a biological profile, and personal data relating to the said human or animal subject,

issuing a set of conclusions by applying at least one group of a set of several groups of pre-established rules to;

at least one group of items selected from the said set of groups of items; and

/or

at least one former set of conclusions issued by said inference engine,

wherein it also comprises gathering at least two conclusions from the said set of conclusions to minimize the number of conclusions in the said set of conclusions.