AIMC Topic: Violence

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Identifying intentional injuries among children and adolescents based on Machine Learning.

PloS one Jan 20, 2021
BACKGROUND: Compared to other studies, the injury monitoring of Chinese children and adolescents has captured a low level of intentional injuries on account of self-harm/suicide and violent attacks. Intentional injuries in children and adolescents ha...
Humans Machine Learning Female Male Intention Self-Injurious Behavior Violence Wounds and Injuries Adolescent Suicide Child, Preschool Child
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Violence detection explanation via semantic roles embeddings.

BMC medical informatics and decision making Oct 15, 2020
BACKGROUND: Emergency room reports pose specific challenges to natural language processing techniques. In this setting, violence episodes on women, elderly and children are often under-reported. Categorizing textual descriptions as containing violenc...
Natural Language Processing Humans Italy Neural Networks, Computer Semantics Violence Female Aged Child
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Ethics Implications of the Use of Artificial Intelligence in Violence Risk Assessment.

The journal of the American Academy of Psychiatry and the Law May 14, 2020
Artificial intelligence is rapidly transforming the landscape of medicine. Specifically, algorithms powered by deep learning are already gaining increasingly wide adoption in fields such as radiology, pathology, and preventive medicine. Forensic psyc...
Machine Learning Humans Beneficence Risk Assessment Artificial Intelligence Violence Social Justice Forensic Psychiatry Personal Autonomy
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Finding warning markers: Leveraging natural language processing and machine learning technologies to detect risk of school violence.

International journal of medical informatics Apr 25, 2020
INTRODUCTION: School violence has a far-reaching effect, impacting the entire school population including staff, students and their families. Among youth attending the most violent schools, studies have reported higher dropout rates, poor school atte...
Humans Machine Learning Algorithms Students Surveys and Questionnaires Adolescent Child Prospective Studies Female Male Risk Assessment Natural Language Processing Violence
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Prediction of physical violence in schizophrenia with machine learning algorithms.

Psychiatry research Apr 13, 2020
Patients with schizophrenia have been shown to have an increased risk for physical violence. While certain features have been identified as risk factors, it has been difficult to integrate these variables to identify violent patients. The present stu...
Physical Abuse Area Under Curve Schizophrenia Violence Schizophrenic Psychology Female Risk Factors Adult Cross-Sectional Studies Male Middle Aged ROC Curve Predictive Value of Tests Humans Machine Learning Algorithms
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Clustering suicides: A data-driven, exploratory machine learning approach.

European psychiatry : the journal of the Association of European Psychiatrists Sep 7, 2019
Methods of suicide have received considerable attention in suicide research. The common approach to differentiate methods of suicide is the classification into "violent" versus "non-violent" method. Interestingly, since the proposition of this dichot...
Violence Middle Aged Suicide Cluster Analysis Austria Humans Machine Learning Retrospective Studies Female Young Adult Adult Male
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Alcohol outlets and firearm violence: a place-based case-control study using satellite imagery and machine learning.

Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention Aug 29, 2019
INTRODUCTION: This article proposes a novel method for matching places based on visual similarity, using high-resolution satellite imagery and machine learning. This approach strengthens comparisons when the built environment is a potential confounde...
Humans Machine Learning Case-Control Studies Wounds, Gunshot Philadelphia Firearms Violence Satellite Imagery Urban Population Residence Characteristics Alcoholic Beverages Commerce
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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.
Netherlands Humans Violence Machine Learning Behavior Observation Techniques Prognosis Hospitals, Psychiatric Electronic Health Records Aggression Male Middle Aged Risk Assessment Inpatients Female Reproducibility of Results Risk Factors Adult
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A scalable machine learning approach for measuring violent and peaceful forms of political protest participation with social media data.

PloS one Mar 19, 2019
In this paper, we introduce a scalable machine learning approach accompanied by open-source software for identifying violent and peaceful forms of political protest participation using social media data. While violent political protests are statistic...
Male Middle Aged Female Data Interpretation, Statistical Adolescent Humans Aged Violence Social Media Young Adult Politics Adult Social Participation Machine Learning Software
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Predeployment predictors of psychiatric disorder-symptoms and interpersonal violence during combat deployment.

Depression and anxiety Aug 13, 2018
BACKGROUND: Preventing suicides, mental disorders, and noncombat-related interpersonal violence during deployment are priorities of the US Army. We used predeployment survey and administrative data to develop actuarial models to identify soldiers at ...
Suicide Models, Theoretical Adult Humans Afghanistan Male Military Personnel Machine Learning Risk Assessment Violence Mental Disorders Resilience, Psychological Female
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