A speech analysis software program is able to predict which youth at risk for #schizophrenia will transition to #psychosis with about 80 percent accuracy, according to a report in World Psychiatry. @APAPsychiatric https://t.co/KnkSstirrb
— Columbia Psychiatry (@ColumbiaPsych) February 12, 2018
Using algorithms, a research team recently analyzed the data of Twitter users to see if it could be used to predict #depression & #PTSD in users & found that roughly 9 times out of 10, the predictions their algorithms made were correct. @PsychToday https://t.co/EglSzirVHF
— Columbia Psychiatry (@ColumbiaPsych) February 2, 2018
We’ve commissioned research that shows 98% of #socialworkers have difficulty sharing information digitally. Social workers are keen to take advantage of #digital opportunities. Take a look at the findings https://t.co/RRMJ0kwrBI pic.twitter.com/Pe2Ogo2TJo
— NHS Digital (@NHSDigital) January 26, 2018
To no parent’s surprise, too much smartphone use makes teens unhappy. So says a new study from San Diego State University,..
This week on The Call-In, a new study suggests a link between electronic device use and depression among teens. NPR’s Lulu Garcia-Navarro talks with Jean Twenge, one of the authors of that study.
Social media, and Facebook groups in particular, could be a helpful tool for increasing patient engagement and satisfaction, according to a study published in Surgery.
Technology in Social Work Education: Educators’ Perspectives on the NASW Technology Standards for Social Work Education and Supervision: https://t.co/vtmmXhzB9S via @laurelhitchcock @melaniesage @njsmyth https://t.co/gXsetVituC @nasw #SocialWork #SWtech #SocWorkEd http://pic.twitter.com/iKxz16wSUx
— UB-Social Work (@UBSSW) December 4, 2017