Emerging Science Journal
Vol 1, No 2 (2017): August

Using of Natural Language Processing Techniques in Suicide Research

Azam Orooji (PhD Student in Medical Informatics, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran)
Mostafa Langarizadeh (Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran)



Article Info

Publish Date
19 Sep 2017

Abstract

It is estimated that each year many people, most of whom are teenagers and young adults die by suicide worldwide. Suicide receives special attention with many countries developing national strategies for prevention. Since, more medical information is available in text, Preventing the growing trend of suicide in communities requires analyzing various textual resources, such as patient records, information on the web or questionnaires. For this purpose, this study systematically reviews recent studies related to the use of natural language processing techniques in the area of people’s health who have completed suicide or are at risk. After electronically searching for the PubMed and ScienceDirect databases and studying articles by two reviewers, 21 articles matched the inclusion criteria. This study revealed that, if a suitable data set is available, natural language processing techniques are well suited for various types of suicide related research.

Copyrights © 2017






Journal Info

Abbrev

ESJ

Publisher

Subject

Environmental Science

Description

Emerging Science Journal is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering and sciences. While it encourages a broad spectrum of contribution in the engineering and sciences. Articles of interdisciplinary nature are ...