Methods for selecting, developing and improving diagnostic tests for pregnancy-related conditions
AssigneeAdeza Biomedical Corporation
InventorsJerome Lapointe, Duane D. DeSieno
Life of this patent
Estimating the term…
Loading patent…
AssigneeAdeza Biomedical Corporation
InventorsJerome Lapointe, Duane D. DeSieno
Estimating the term…
Methods are provided for developing medical diagnostic tests using decision-support systems, such as neural networks. Patient data or information, typically patient history or clinical data, are analyzed by the decision-support systems to identify important or relevant variables and decision-support systems are trained on the patient data. Patient data are augmented by biochemical test data, or results, where available, to refine performance. The resulting decision-support systems are employed to evaluate specific observation values and test results, to guide the development of biochemical or other diagnostic tests, too assess a course of treatment, to identify new diagnostic tests and disease markers, to identify useful therapies, and to provide the decision-support functionality for the test. Methods for identification of important input variables for a medical diagnostic tests for use in training the decision-support systems to guide the development of the tests, for improving the sensitivity and specificity of such tests, and for selecting diagnostic tests that improve overall diagnosis of, or potential for, a disease state and that permit the effectiveness of a selected therapeutic protocol to be assessed are provided. The methods for identification can be applied in any field in which statistics are used to determine outcomes. A method for evaluating the effectiveness of any given diagnostic test is also provided.
A computer-based method of assessment of the risk of preterm delivery or the risk of delivery within a selected period of time, comprising:
A method for assessing the risk of delivery prior to completion of 35 weeks of gestation, comprising assessing a subset of variables containing at least three and up to all of the responses to the following queries:
The method of claim wherein the decision-support system has been trained using a set of variables that do not include biochemical test data.
A method for assessing the risk of delivery prior to completion of 35 weeks of gestation in a subject comprising:
In a computer system, a method for assessing the risk of delivery in a subject prior to completion of 35 weeks of gestation, comprising the steps of:
A method for assessing the risk for delivery in 7 or fewer days, comprising assessing a subset of variables containing at least three up to all of the following variables:
A method for assessing in a subject the risk for delivery in 7 days or fewer days, comprising:
In a computer system, a method for assessing the risk for delivery in 7 days or fewer days, comprising the steps of:
A method for assessing the risk for delivery in 14 or fewer days, comprising assessing a subset of variables containing at least three up to all of the following variables:
A method for assessing in a subject the risk for delivery in 14 days or fewer days, comprising:
In a computer system, a method for assessing the risk for delivery in 14 days or fewer days, comprising the steps of:
A computer system, comprising a neural network or plurality thereof trained for assessing the risk of preterm delivery or imminent delivery within in a predetermined time frame.
Dependencies are inferred from the claim text.