U.S. patents available from 1976 to present.
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Method and apparatus for controlled individualized medication

Patent 5672154 Issued on September 30, 1997. Estimated Expiration Date: Icon_subject February 27, 2015. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Diabetes management system and apparatus
Patent #: 5019974
Issued on: 05/28/1991
Inventor: Beckers

Interactive medication delivery system
Patent #: 5126957
Issued on: 06/30/1992
Inventor: Kaufman, et al.

Artificial neural device utilizing phase orientation in the complex number domain to encode and decode stimulus response patterns
Patent #: 5214745
Issued on: 05/25/1993
Inventor: Sutherland

Non-prescription drug medication screening system
Patent #: 5299121
Issued on: 03/29/1994
Inventor: Brill, et al.

Voltage or reactive power control method and control device therefor
Patent #: 5327355
Issued on: 07/05/1994
Inventor: Chiba, et al.

Display rack Patent #: 5464103
Issued on: 11/07/1995
Inventor: O'Brien

Inventors

Assignee

Application

No. 387943 filed on 02/27/1995

US Classes:

604/503, Therapeutic material introduced or removed in response to a sensed body condition128/924, Using artificial intelligence706/924Medical

Examiners

Primary: Bockelman, Mark

Attorney, Agent or Firm

Foreign Patent References

  • 0 128 054 EP. 12/13/1984
  • 0 303 930 EP. 02/13/1989
  • 2218831 GB. 11/13/1989

International Class

A61M 031/00

Foreign Application Priority Data

1992-08-27 SE

Abstract

A method and a device for giving patients individualized, situation-dependent medication advice are disclosed. Preferably, the invention is implemented in portable computers. The method is founded on knowledge-based computer technology and comprises a reminder function (1), a recording and storage function (2, 3), as well as a function for inductive data analysis (4) and rule generation. When the knowledge-based system (6) finds that a medicine should be taken, the computer emits a signal providing information on the type of medicine and the dose. The patients records the intake of medicine as well as his current state of health. This information is stored in a database together with the point of time. Inductive data analysis is used to spot the relationship between various events and symptoms as well as establish medication rules. These rules are refined upon as new information is recorded in the database, and are automatically adapted to changes in the patient's state of health.

Other References

  • "A Neural Network Expert System for Diagnosing and Treating Hypertension" Riccardo Poli et al Mar. 1991 IEEE
  • "The Effect of Noise on Concept Learning", Learning from Noisy Data, Machine Learning An Artificial Intelligence Approach, vol. II, J. Ross Quinlan, (1986) pp. 149-166, R.S. Michalski et al. (eds.)
  • "Discovering Rules by Induction From Large Collections of Examples, Introductory Readings in Expert Systems", J. Ross Quinlan, (D. Michie) pp. 168-201, (1979)
  • Introductory Readings in Expert Systems Studies in Cybernetics: 1, Gordon and Breach, pp. 196-197
  • On Machine Intelligence, Ellis Horwood Series in Artificial Intelligence, second edition, Donald Michie, pp. 233-23
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