Occupational e-mental health: current approaches and promising perspectives for promoting mental health in workers
D Lehr, A Geraedts, R Persson Asplund… - Healthy at work …, 2016 - Springer
During the past few years, the Internet has started to change lifestyles and affect all life
domains, including working life. It is also increasingly used for targeting mental health …
domains, including working life. It is also increasingly used for targeting mental health …
Machine learning for the quantified self
M Hoogendoorn, B Funk - On the art of learning from sensory data, 2018 - Springer
Self-tracking has become part of a modern lifestyle; wearables and smartphones support
self-tracking in an easy fashion and change our behavior such as in the health sphere. The …
self-tracking in an easy fashion and change our behavior such as in the health sphere. The …
Machine learning based prediction of depression among type 2 diabetic patients
RM Khalil, A Al-Jumaily - 2017 12th international conference …, 2017 - ieeexplore.ieee.org
Most of humankind feel sadness, tragic, feeling down from time to time; a few people
encounter these emotions strongly, for long period of time and usually with no evident …
encounter these emotions strongly, for long period of time and usually with no evident …
Modeling smoking-attributable mortality among adults with major depression in the United States
Tobacco-related health disparities disproportionately affect smokers with major depression
(MD). Although tobacco simulation models have been applied to general populations, to …
(MD). Although tobacco simulation models have been applied to general populations, to …
Modeling the effect of regulation of negative emotions on mood
In this paper a computational model is presented that describes the role of emotion
regulation to reduce the influences of negative events on mood. Emotion regulation is a …
regulation to reduce the influences of negative events on mood. Emotion regulation is a …
An agent model of temporal dynamics in relapse and recurrence in depression
This paper presents a dynamic agent model of recurrences of a depression for an individual.
Based on several personal characteristics and a representation of events (ie life events or …
Based on several personal characteristics and a representation of events (ie life events or …
ICT4Depression: Service oriented architecture applied to the treatment of depression
FP7 ICT4Depression project aims at providing a set of tools to further improve both patient
outcome and increase of access to treatment of the patients suffering from major depression …
outcome and increase of access to treatment of the patients suffering from major depression …
Determination of the fear coefficient by pupillograms
OL Isaeva, MP Boronenko, VI Zelensky… - Journal of Physics …, 2020 - iopscience.iop.org
Currently, various mathematical models of pupillograms are used to process the results of
pupillometric studies. There are also mathematical models of emotions. At the moment …
pupillometric studies. There are also mathematical models of emotions. At the moment …
An integrative ambient agent model for unipolar depression relapse prevention
One of the challenges for persons with a history of unipolar depression is to stay healthy
throughout their lifetime. In principle, having more severe prior onset cases escalates the …
throughout their lifetime. In principle, having more severe prior onset cases escalates the …
A personalized support agent for depressed patients: Forecasting patient behavior using a mood and coping model
R Kop, M Hoogendoorn… - 2014 IEEE/WIC/ACM …, 2014 - ieeexplore.ieee.org
Depression is a disorder that has a huge impact on both the patient and its environment. An
effective treatment of depression is of crucial importance. Currently, Internet-based self-help …
effective treatment of depression is of crucial importance. Currently, Internet-based self-help …