20240021097. System and Method for Automated Risk Assessment for School Violence simplified abstract (Children's Hospital Medical Center)
Contents
System and Method for Automated Risk Assessment for School Violence
Organization Name
Children's Hospital Medical Center
Inventor(s)
Drew Barzman of Evendale OH (US)
System and Method for Automated Risk Assessment for School Violence - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240021097 titled 'System and Method for Automated Risk Assessment for School Violence
Simplified Explanation
The patent application describes a system and method for predicting the risk of violence, primarily in school settings. The system performs the following steps:
- Receiving responses to questions from an individual.
- Extracting words or phrases from the questions and responses using a computerized annotator.
- Assigning the extracted words or phrases to pre-defined categories using the annotator.
- Automatically identifying and scoring words or phrases that could be classified into the pre-defined categories using a trained machine-learning engine.
- Producing a score reflecting the relative risk of violence by the individual.
The pre-defined categories include:
- Expression of violent acts or thoughts of the individual.
- Expression of negative feelings, thoughts, or acts of others.
- Expression of negative feelings, thoughts, or acts of the individual.
- Expression of family discord or tragedies.
- Expression of protective factors.
Potential applications of this technology:
- School safety: The system can be used to identify individuals who may pose a risk of violence in a school setting, allowing for early intervention and prevention measures.
- Mental health assessment: The system can provide insights into an individual's mental state and help identify those who may require mental health support or intervention.
- Threat assessment: The technology can be used by law enforcement agencies or security personnel to assess the risk of violence in various contexts, such as public events or workplaces.
Problems solved by this technology:
- Early identification of potential violence: By analyzing the individual's responses and identifying risk factors, the system can help prevent violent incidents before they occur.
- Efficient risk assessment: The automated process of extracting and categorizing words or phrases allows for a more efficient and objective assessment of the risk of violence.
- Personalized intervention: The system can provide tailored interventions based on the specific risk factors identified, allowing for targeted support and prevention strategies.
Benefits of this technology:
- Enhanced safety: By predicting the risk of violence, the system can contribute to creating safer environments, particularly in schools.
- Early intervention: The technology enables early identification of individuals at risk, allowing for timely intervention and support.
- Objective assessment: The automated process reduces subjective biases and provides an objective assessment of the risk of violence.
- Resource optimization: By focusing resources on individuals with a higher risk score, interventions can be prioritized, leading to more efficient resource allocation.
Original Abstract Submitted
a system and method for predicting risk of violence for an individual (primarily school violence, but not limited to school violence) performs the following steps: (a) receiving responses to questions from an individual; (b) extracting by a computerized annotator words or phrases from the questions and responses; (c) assigning by the annotator extracted word(s) or phrase(s) to at least one of a plurality of pre-defined categories; and (d) automatically identifying and scoring words or phrases that could be classified into the pre-defined categories by a trained machine-learning engine to produce a score reflecting relative risk of violence by the individual. the pre-defined categories include: expression of violent acts or thoughts of the individual; expression of negative feelings, thoughts or acts of others; expression of negative feelings, thoughts or acts of the individual; expression of family discord or tragedies; and expression of protective factors.
