System and method for hazardous incident decision support and training
First Claim
1. A method of providing hazardous incident decision support and training, comprising:
- acquiring observed signs and symptoms data from a user interface, wherein said data is input by a user to describe a given situation or condition which may or may not be associated with a hazardous incident;
acquiring agent characteristic data from records in a database, wherein each record includes data representative of a known hazardous agent; and
performing an initial agent identification by comparing the observed signs and symptoms acquired from the user interface with the agent characteristics data for each record in the database, wherein said performing an initial agent identification by comparing the observed signs and symptoms acquired from the user interface with the agent characteristics data for each record in the database comprises using the following algorithm;
Agent Identification=Max [W1·
(number of matched Signs)+W2·
(number of matched Symptoms)+W3·
(number of matched Times-of-Onset)−
W4·
(number of Mismatches)], wherein W represents the relative weights given to corresponding matches or mismatches, and Max represents a process in which the result or score obtained from applying the foregoing algorithm to each record in said database is evaluated to determine the record with the greatest numerical value.
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Accused Products
Abstract
A system and method for providing hazardous incident decision support and training includes a user interface component that receives situation definition data, a hazard assessment component and a decision aid. Decision support advice and decision prompts are presented by the system in response to the situation definition interface and hazard assessment. The hazard assessment and expert advice of the system are updated with elapsed time. In another embodiment of the present invention, graphical user interfaces are provided to display a set of menu entries wherein individual menu entries represent a hazardous incident characteristic. The user may select one or more of the menu entries to create a situation definition. Such definitions may be used, for example, to identify a hazardous agent based upon user-inputted signs and symptoms data.
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Citations
6 Claims
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1. A method of providing hazardous incident decision support and training, comprising:
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acquiring observed signs and symptoms data from a user interface, wherein said data is input by a user to describe a given situation or condition which may or may not be associated with a hazardous incident; acquiring agent characteristic data from records in a database, wherein each record includes data representative of a known hazardous agent; and performing an initial agent identification by comparing the observed signs and symptoms acquired from the user interface with the agent characteristics data for each record in the database, wherein said performing an initial agent identification by comparing the observed signs and symptoms acquired from the user interface with the agent characteristics data for each record in the database comprises using the following algorithm;
Agent Identification=Max [W1·
(number of matched Signs)+W2·
(number of matched Symptoms)+W3·
(number of matched Times-of-Onset)−
W4·
(number of Mismatches)], wherein W represents the relative weights given to corresponding matches or mismatches, and Max represents a process in which the result or score obtained from applying the foregoing algorithm to each record in said database is evaluated to determine the record with the greatest numerical value. - View Dependent Claims (2)
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3. A method of providing hazardous incident decision support and training, comprising:
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acquiring observed signs and symptoms data from a user interface, wherein said data is input by a user to describe a given situation or condition which may or may not be associated with a hazardous incident; acquiring agent characteristic data from records in a database, wherein each record includes data representative of a known hazardous agent; and performing an initial agent identification by comparing the observed signs and symptoms acquired froni the user interface with the agent characteristics data for each record in the database, wherein said performing an initial agent identification by comparing the observed signs and symptoms acquired from the user interface with the agent characteristics data for each record in the database comprises using the following algorithm;
Agent Identification=Max [W1·
(number of matched Signs)+W2·
(number of matched Symptoms)+W3·
(number of matched Times-of-Onset)−
W4·
(number of Mismatches)+W5·
(Sensor Input)+W6·
(Sampling Data)], wherein W represents the relative weights given to corresponding matches or mismatches, and Max represents a process in which the result or score obtained from applying the foregoing algorithm to each record in said database is evaluated to determine the record with the greatest numerical value. - View Dependent Claims (4)
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5. A method of providing hazardous incident decision support and training, comprising:
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acquiring observed signs and symptoms data from a user interface, wherein said data is input by a user to describe a given situation or condition which may or may not be associated with a hazardous incident; acquiring agent characteristic data from records in a database, wherein each record includes data representative of a known hazardous agent; and performing an initial agent identification by comparing the observed signs and symptoms acquired from the user interface with the agent characteristics data for each record in the database, wherein said performing an initial agent identification by comparing the observed signs and symptoms acquired from the user interface with the agent characteristics data for each record in the database comprises using the following algorithm;
Agent Identification=Max [W1·
(number of matched Signs)+W2·
(number of matched Symptoms)+W3·
(number of matched Times-of-Onset)−
W4·
(number of Mismatches)+W5·
(Sensor Input)+W6·
(Sampling Data)+W7·
(Time Data)+W8·
(Intelligence)+W9·
(Number of Casualties)+W10·
(Distribution of Casualties)+W11·
(MET Data)], wherein W represents the relative weights given to corresponding matches or mismatches, and Max represents a process in which the result or score obtained from applying the foregoing algorithm to each record in said database is evaluated to determine the record with the greatest numerical value. - View Dependent Claims (6)
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Specification