Predicting Depression via Social Media Major depression constitutes a serious challenge in personal and public health. Tens of millions of people each year suffer from depression and only a fraction receives adequate treatment. We explore the potential to use social media to detect and diagnose major...
Depression is a mood disorder, which can be described as having a feeling of sadness, anger, or loss that hinders the individual's daily routine. Depression may cause lower efficiency and productivity at work; impact relationships and lead to severe health problems. Data analysis techniques for ...
We consider multiple measures including activity, social capital, emotion, and linguistic style in participants' Facebook data in pre- and postnatal periods. Our study includes detecting and predicting onset of post-partum depression (PPD). The work complements recent work on detecting and predicting...
“counsel” supports that models are not solely making trivial predictions based on whether oncologists are writing that they will make a referral, some of the predictions being made may be relatively simple, such as those based on whether consults include words such as “depression” or “...
Relational Victimization, Loneliness and Depressive Symptoms: Indirect Associations Via Self and Peer Reports of Rejection Sensitivity Theory suggests that aversive social experiences generate emotional maladjustment because they prompt the development of a hypersensitivity to perceiving a... MJ Zimmer-Gembeck...
In the face of crises in 2008 and 2020, they have struggled with the rise of the BRICS—particularly the competitive challenge from China, Russia’s recovery from its post-USSR depression of the 1990s, and growing assertiveness by Middle Eastern countries like Saudi Arabia as well as India, ...
The prevalence of concomitant proteinopathies and heterogeneous clinical symptoms in neurodegenerative diseases hinders the identification of individuals who might be candidates for a particular intervention. Here, by applying an unsupervised clustering
(who the person lives with), employment status, anxiety and depression; (3) more detailed information on the COVID-19 situation (whether participants or their relatives have had COVID-19; whether any of the participants' relatives have died from COVID-19); (4) other eating ...
The commonest mental health conditions during the pregnancy period are depression and anxiety, with nearly 12% of women experiencing depression, 13% experi- encing anxiety at some point, and many women experi- encing both [4, 5]. These mental health conditions can be treated in a different ...
(the outcome,Y) via the parallel mediators of thwarted belongingness, burdensomeness, depression and anxiety (which, closely related to suicide ideation, were included as mediators in their own right). Because relationship status is a binary variable which could have changed recently, it was ...