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Journal of Depression and Anxiety

Journal of Depression and Anxiety
Open Access

ISSN: 2167-1044

+44 1223 790975

Research - (2020)

The Role of Suicide Ideation in Assessing Near-Term Suicide Risk: A Machine Learning Approach

Lauren McMullen*
 
*Correspondence: Lauren McMullen, Department of Psychiatry and Behavioral Health, Mount Sinai Beth Israel Medical Center, USA, Email:

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Retraction Note

The article entitled “The Role of Suicide Ideation in Assessing Near-Term Suicide Risk: A Machine Learning Approach” has been accepted for publication in the Journal of Depression and Anxiety considering the statements provided in the article as personal opinion of the author which was found not having any conflict or biasness towards anything. Publisher took decision to make the article online solely based on the reviewers suggestion which considered the article not but a personal opinion of the author. However, it is found that the author have some personal concerns and issues, therefore, being retracted from the journal.

Author Info

Lauren McMullen*
 
1Department of Psychiatry and Behavioral Health, Mount Sinai Beth Israel Medical Center, USA
 

Citation: McMullen L, Parghi N, Yao H, Block-Elkouby S, Chennapragada L, Newkirk S, et al. (2020) The Role of Suicide Ideation in Assessing Near-Term Suicide Risk: A Machine Learning Approach. J Depress Anxiety. 9:380.

Received: 10-Nov-2020 Accepted: 04-Dec-2020 Published: 11-Dec-2020 , DOI: 10.35248/2167-1044.20.s3.380

Copyright: 2020 McMullen L, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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