ListarArtículos en revistas indizadas por tema "machine learning"

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How well can post-traumatic stress disorder be predicted from pre-trauma risk factors? An exploratory study in the WHO World Mental Health Surveys

Kessler, Ronald C.; Rose, Sherri; Koenen, Karestan C.; Karam, Elie G.; Stang, Paul E.; Stein, Dan J.; Heeringa, Steven G.; Hill, Eric D.; Liberzon, Israel; McLaughlin, Katie A.; McLean, Samuel A.; Pennell, Beth E.; Petukhova, Maria; Rosellini, Anthony J.; Ruscio, Ayelet M.; Shahly, Victoria; Shalev, Arieh Y.; Silove, Derrick; Zaslavsky, Alan M.; Angermeyer, Matthias C.; Bromet, Evelyn J.; De Almeida, José Miguel Caldas; De Girolamo, Giovanni; De Jonge, Peter; Demyttenaere, Koen; Florescu, Silvia E.; Gureje, Oye; Haro, Josep Maria; Hinkov, Hristo; Kawakami, Norito; Kovess-Masfety, Viviane; Lee, Sing; Medina-Mora, Maria Elena; Murphy, Samuel D.; Navarro-Mateu, Fernando; Piazza Ferrand, Marina Julia; Posada-Villa, Jose; Scott, Kate; Torres, Yolanda; Viana, Maria Carmen (Wiley, 2014)

Post-traumatic stress disorder (PTSD) should be one of the most preventable mental disorders, since many people exposed to traumatic experiences (TEs) could be targeted in first response settings in the immediate aftermath ...

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