AIMC Topic: Aggression
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Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records.
JAMA network open
Jul 3, 2019
IMPORTANCE: Inpatient violence remains a significant problem despite existing risk assessment methods. The lack of robustness and the high degree of effort needed to use current methods might be mitigated by using routinely registered clinical notes.
Machine learning for predicting psychotic relapse at 2 years in schizophrenia in the national FACE-SZ cohort.
Progress in neuro-psychopharmacology & biological psychiatry
Dec 12, 2018
BACKGROUND: Predicting psychotic relapse is one of the major challenges in the daily care of schizophrenia.
From provocation to aggression: the neural network.
BMC neuroscience
Oct 17, 2017
BACKGROUND: In-vivo observations of neural processes during human aggressive behavior are difficult to obtain, limiting the number of studies in this area. To address this gap, the present study implemented a social reactive aggression paradigm in 29...
Multiple cues produced by a robotic fish modulate aggressive behaviour in Siamese fighting fishes.
Scientific reports
Jul 5, 2017
The use of robotics to establish social interactions between animals and robots, represents an elegant and innovative method to investigate animal behaviour. However, robots are still underused to investigate high complex and flexible behaviours, suc...
Even good bots fight: The case of Wikipedia.
PloS one
Feb 23, 2017
In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on social media, and content-editing bots in online collaboration communitie...
Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor.
Sensors (Basel, Switzerland)
May 2, 2016
Aggression among pigs adversely affects economic returns and animal welfare in intensive pigsties. In this study, we developed a non-invasive, inexpensive, automatic monitoring prototype system that uses a Kinect depth sensor to recognize aggressive ...
Dissecting the Predictors of Cyber-Aggression Through an Explainable Machine Learning Model.
Aggressive behavior
Jan 1, 2025
The general aggression model (GAM) suggests that cyber-aggression stems from individual characteristics and situational contexts. Previous studies have focused on limited factors using linear models, leading to oversimplified predictions. This study ...
A computer vision image differential approach for automatic detection of aggressive behavior in pigs using deep learning.
Journal of animal science
Jan 3, 2023
Pig aggression is a major problem facing the industry as it negatively affects both the welfare and the productivity of group-housed pigs. This study aimed to use a supervised deep learning (DL) approach based on a convolutional neural network (CNN) ...
Neuropsychiatric symptoms as predictors of conversion from MCI to dementia: a machine learning approach.
International psychogeriatrics
Mar 1, 2020
OBJECTIVES: To use a Machine Learning (ML) approach to compare Neuropsychiatric Symptoms (NPS) in participants of a longitudinal study who developed dementia and those who did not.
Automated Risk Assessment for School Violence: a Pilot Study.
The Psychiatric quarterly
Dec 1, 2018
School violence has increased over the past ten years. This study evaluated students using a more standard and sensitive method to help identify students who are at high risk for school violence. 103 participants were recruited through Cincinnati Chi...
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