Accepted for/Published in: JMIR Mental Health
Date Submitted: Feb 10, 2018
Open Peer Review Period: Feb 10, 2018 - Jul 26, 2018
Date Accepted: Jul 26, 2018
(closed for review but you can still tweet)
A Data Mining Approach of Electronic Health Record Data for Suicide Risk Management: Toward Clinical Decision Support Systems in Suicide Prevention
ABSTRACT
Background:
In an e-health context, combining traditional structured clinical assessment methods and routine electronic health based data capture may be a reliable method to build a dynamic clinical decision support system (CDSS) in suicide prevention. Our objective was to describe the data mining module of a web-based CDSS and to identify suicide repetition risk in a sample of suicide attempters. A database of 2802 suicide attempters has been analysed. Clustering methods were used to identify groups of similar patients while regression trees are applied to estimate the number of suicide attempts among these patients. Three groups of patients are identified by clustering methods. Relevant risk factors explaining the number of suicide attempts are highlighted by regression trees. Data mining techniques can help to identify different groups of patients at risk of suicide reattempt.
Objective:
Our objective was to describe the data mining module of a web-based CDSS and to identify suicide repetition risk in a sample of suicide attempters.
Methods:
A database of 2802 suicide attempters has been analysed. Clustering methods were used to identify groups of similar patients while regression trees are applied to estimate the number of suicide attempts among these patients.
Results:
Three groups of patients are identified by clustering methods. Relevant risk factors explaining the number of suicide attempts are highlighted by regression trees. Data mining techniques can help to identify different groups of patients at risk of suicide reattempt.
Conclusions:
These results can be combined with web-based and smartphone based data to improve dynamic decision making for clinicians.
Citation
Per the author's request the PDF is not available.
Copyright
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