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System and method for hazardous incident decision support and training

  • US 7,684,966 B1
  • Filed: 02/27/2007
  • Issued: 03/23/2010
  • Est. Priority Date: 02/23/2000
  • Status: Expired due to Fees
First Claim
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1. A system for providing hazardous incident decision support and training, comprising:

  • a user interface component operative to receive a situation definition, wherein the user interface component is operative to receive observed signs and symptoms data;

    a clock; and

    a time-dependent hazard assessment component responsive to the situation definition and clock, wherein the time-dependent hazard assessment component includes a database of signs and symptoms representative of known agents, and a comparator operative to compare the observed signs and symptoms data obtained from the user interface with the database of signs and symptoms representative of known agents to perform an agent identification, and wherein said comparator uses an algorithm selected from the group consisting of;

    (a) 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;

    (b) 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; and

    (c) 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.

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