Cargando…
Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records
BACKGROUND: Although physical illnesses, routinely documented in electronic medical records (EMR), have been found to be a contributing factor to suicides, no automated systems use this information to predict suicide risk. OBJECTIVE: The aim of this study is to quantify the impact of physical illnes...
Autores principales: | Karmakar, Chandan, Luo, Wei, Tran, Truyen, Berk, Michael, Venkatesh, Svetha |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960407/ https://www.ncbi.nlm.nih.gov/pubmed/27400764 http://dx.doi.org/10.2196/mental.5475 |
Ejemplares similares
-
Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments
por: Tran, Truyen, et al.
Publicado: (2014) -
Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
por: Luo, Wei, et al.
Publicado: (2016) -
Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records
por: Rana, Santu, et al.
Publicado: (2021) -
Precision psychiatry with immunological and cognitive biomarkers: a multi-domain prediction for the diagnosis of bipolar disorder or schizophrenia using machine learning
por: Fernandes, Brisa S., et al.
Publicado: (2020) -
Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry
por: Gupta, Sunil, et al.
Publicado: (2014)