| 摘要 |
The present invention provides a decision management system to define, validate and extract data for predictive models. A system of sensors is deployed in a sample collection environment, where such sensors are used to collect data from a biological or chemical sample, with additional sensors for ambient data whose output as a form of metadata can characterize performance conditions including background ambient conditions. A format or sequence of processes is the basis for a math model to establish a logical weight to data for predictive modeling and event reporting. The present invention provides a computer or other sensor interface system with a primary sensor or sensors, network connection, and supplementary sensors to measure the conditions in which the primary data is captured. A software process allows for user inputs of data in order to establish the methods and rules for normal function. |
