Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Daniel D.L. Coppersmith"'
Autor:
Alexander Millner, Daniel D.L. Coppersmith, Rebecca Fortgang, Osiris Rankin, Irene Xu, Merryn Daniel, Kelly Zuromski, Shirley B Wang, Donald Robinaugh, Kate Bentley, Evan Kleiman, Matthew Nock
Suicide is a leading cause of death. Rich descriptions of suicidal phenomena are critical to advancing understanding. Research on goal-directed behavior suggests that actions require both a motivation and a cognitive representation of the behavior. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f1d76053a5a1c20b4cdbcb8e5b6010
https://doi.org/10.31219/osf.io/q4wev
https://doi.org/10.31219/osf.io/q4wev
Autor:
Daniel D.L. Coppersmith, Oisín Ryan, Rebecca G. Fortgang, Alexander J. Millner, Evan M. Kleiman, Matthew K. Nock
Publikováno v:
Proceedings of the National Academy of Sciences. 120
This study aims to identify the timescale of suicidal thinking, leveraging real-time monitoring data and a number of different analytic approaches. Participants were 105 adults with past week suicidal thoughts who completed a 42-d real-time monitorin
Autor:
Daniel D.L. Coppersmith, Oisín Ryan, Rebecca Fortgang, Alexander Millner, Evan Kleiman, Matthew Nock
Suicide is one of the most devastating aspects of human nature and has puzzled scholars for thousands of years. Most suicide research to date has focused on establishing the prevalence and predictors of the presence or severity of suicidal thoughts/b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fa48b988d7e8c397e367a19cbc1c4fa
https://doi.org/10.31234/osf.io/eus2q
https://doi.org/10.31234/osf.io/eus2q
Autor:
Daniel D.L. Coppersmith, Shirley B. Wang, Evan M. Kleiman, Joseph S. Maimone, Szymon Fedor, Kate H. Bentley, Alexander J. Millner, Rebecca G. Fortgang, Rosalind W. Picard, Stuart Beck, Jeff C. Huffman, Matthew K. Nock
Publikováno v:
General hospital psychiatry. 80
Suicide is among the most devastating problems facing clinicians, who currently have limited tools to predict and prevent suicidal behavior. Here we report on real-time, continuous smartphone and sensor data collected before, during, and after a suic