Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records-Reference-Cited by-同舟云学术

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Machine Learning Approach to Inpatient Violence Risk Assessment Using Routinely Collected Clinical Notes in Electronic Health Records

Published:2019-07-03 Issue:7 Volume:2 Page:e196709
ISSN:2574-3805
Container-title:JAMA Network Open
language:en
Short-container-title:JAMA Netw Open

Author:

Menger Vincent¹²,Spruit Marco¹,van Est Roel³,Nap Eline³,Scheepers Floor²

Affiliation:

1. Department of Information and Computing Sciences, Utrecht University, Utrecht, the Netherlands

2. Department of Psychiatry, University Medical Center Utrecht, Utrecht, the Netherlands

3. Data Research Office, Antes, Parnassia Group, Rotterdam, the Netherlands

Publisher

American Medical Association (AMA)

Subject

General Medicine

Link

http:///jamanetworkopen/article-pdf/2/7/e196709/17681264/menger_2019_oi_190269.pdf

Reference37 articles.

1. Prevalence and risk factors of violence by psychiatric acute inpatients: a systematic review and meta-analysis.;Iozzino;PLoS One,2015

2. Violence against mental health care professionals: prevalence, nature and consequences.;van Leeuwen;J Forensic Psychiatry Psychol,2017

3. Psychological impact of verbal abuse and violence by patients on nurses working in psychiatric departments.;Inoue;Psychiatry Clin Neurosci,2006

4. Psychiatric nurses’ experiences with inpatient aggression.;Nijman;Aggress Behav,2005

5. International perspectives on the practical application of violence risk assessment: a global survey of 44 countries.;Singh;Int J Forensic Ment Health,2014

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1. Machine Learning vs. Rule-Based Methods for Document Classification of Electronic Health Records within Mental Health Care - A Systematic Literature Review;2024-03-21

2. Beyond Discrimination: Generative AI Applications and Ethical Challenges in Forensic Psychiatry;Frontiers in Psychiatry;2024-03-08

3. Machine Learning Applications to Identify Young Offenders Using Data from Cognitive Function Tests;Data;2023-11-21

4. The added value of text from Dutch general practitioner notes in predictive modeling;Journal of the American Medical Informatics Association;2023-08-16

5. An analysis of Chinese nursing electronic medical records to predict violence in psychiatric inpatients using text mining and machine learning techniques;PLOS ONE;2023-06-07

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