US6083173A
Expired / Lapsed
US
⏱️ 0.0 years remaining
Artificial neural network for predicting respiratory disturbances and method for developing the same
Assignee: Research Foundation of the State University of New York
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Filing: 1999-03-05
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Granted: 2000-07-04
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Expires: 2019-03-05
Abstract
Abstract A method for predicting respiratory disturbances, and a method for developing such an artificial neural network. The inputs to the method and to the artificial neural network of the present invention are the answers given by a person to a series of questions. The output of the artificial neural network is a predicted respiratory disturbance index.
Inventors
- 👤 Brydon J. B. Grant
- 👤 Ali El-Solh
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-30 04:55
CPC Classifications
A; A61; A61B; A61B5/00; A61B5/48; A61B5/4806; A61B5/4818; A61B10/00; A61B5/08; G; G16; G16H; G16H50/00; G16H50/20; G16H50/30; G16H50/70; A61B5/72; A61B5/7235; A61B5/7264; A61B5/7267; Y; Y10; Y10S; Y10S128/00; Y10S128/92; Y10S128/923; Y10S128/924; Y10S706/00; Y10S706/902; Y10S706/924
Claims Analysis
Total Claims: 5
Claim 1
Independent Claim
100 words
A method for predicting respiratory disturbances comprising: gathering information from a patient, the information comprising pieces of information answers to questions and responses to statements; determining numerical values for each of the answers and responses; determining a first set of predictive indicators from the pieces of information; determining a second set of predictive indicators from the pieces of information; determining a predictive number from the pieces of information, the first set of predictive indicators, and the second set of predictive indicators, wherein the predictive number corresponds to a respiratory disturbance index; and providing the predictive number to a health professional.
Claim 2
Independent Claim
100 words
A method for predicting respiratory disturbances comprising: gathering information from a patient, the information comprising pieces of information answers to questions and responses to statements; determining numerical values for each of the answers and responses; determining a first set of predictive indicators from the pieces of information; determining a second set of predictive indicators from the pieces of information; determining a predictive number from the pieces of information, the first set of predictive indicators, and the second set of predictive indicators, wherein the predictive number corresponds to a respiratory disturbance index; and providing the predictive number to a health professional.
Claim 3
Dependent Claim
20 words
A storage device having stored thereon computer readable code for causing a computer to execute the method of claim 1.
Claim 4
Independent Claim
104 words
A method for developing an artificial neural network for making a prediction about an attribute comprising: determining relevant information needed to make a prediction; performing clinical studies on patients to determine which patients have a particular attribute and to produce results corresponding to the attribute; gathering information about the patients, the information comprising pieces of information; statistically analyzing the information gathered to determine relationships between the pieces of information and the results from the clinical studies; expressing the relationships mathematically; exposing the mathematical relationships to a training set and adjusting the mathematical relationships to produce a desired outcome; and testing the adjusted mathematical relationships.
Claim 5
Independent Claim
104 words
A method for developing an artificial neural network for making a prediction about an attribute comprising: determining relevant information needed to make a prediction; performing clinical studies on patients to determine which patients have a particular attribute and to produce results corresponding to the attribute; gathering information about the patients, the information comprising pieces of information; statistically analyzing the information gathered to determine relationships between the pieces of information and the results from the clinical studies; expressing the relationships mathematically; exposing the mathematical relationships to a training set and adjusting the mathematical relationships to produce a desired outcome; and testing the adjusted mathematical relationships.
References Cited (Backward Citations)
US5724983A
Cited
US5839438A
Cited
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2003-07-04 | 2004-01-03 | 2004-07-04 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2007-07-04 | 2008-01-03 | 2008-07-04 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2011-07-04 | 2012-01-03 | 2012-07-04 | $7700.00 | Window Closed / Lapsed |