Measuring objective and subjective well-being: dimensions and data sources
Well-being is an important value for people's lives, and it could be considered as an index of
societal progress. Researchers have suggested two main approaches for the overall …
societal progress. Researchers have suggested two main approaches for the overall …
Machine learning in mental health: A systematic review of the HCI literature to support the development of effective and implementable ML systems
High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …
with recent advances in AI, has led to an increase in explorations of how the field of machine …
Data acquisition for urban building energy modeling: A review
Abstract Urban Building Energy Modeling (UBEM) is essential for urban energy-related
applications. Its generation mainly requires four data inputs, including geometric data, non …
applications. Its generation mainly requires four data inputs, including geometric data, non …
Personal sensing: understanding mental health using ubiquitous sensors and machine learning
Sensors in everyday devices, such as our phones, wearables, and computers, leave a
stream of digital traces. Personal sensing refers to collecting and analyzing data from …
stream of digital traces. Personal sensing refers to collecting and analyzing data from …
Big data in health care: using analytics to identify and manage high-risk and high-cost patients
The US health care system is rapidly adopting electronic health records, which will
dramatically increase the quantity of clinical data that are available electronically …
dramatically increase the quantity of clinical data that are available electronically …
Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis
L Canzian, M Musolesi - Proceedings of the 2015 ACM international joint …, 2015 - dl.acm.org
One of the most interesting applications of mobile sensing is monitoring of individual
behavior, especially in the area of mental health care. Most existing systems require an …
behavior, especially in the area of mental health care. Most existing systems require an …
[图书][B] Social physics: How good ideas spread-the lessons from a new science
A Pentland - 2014 - books.google.com
From one of the world's leading data scientists, a landmark tour of the new science of idea
flow, offering revolutionary insights into the mysteries of collective intelligence and social …
flow, offering revolutionary insights into the mysteries of collective intelligence and social …
Interaction data from the copenhagen networks study
We describe the multi-layer temporal network which connects a population of more than 700
university students over a period of four weeks. The dataset was collected via smartphones …
university students over a period of four weeks. The dataset was collected via smartphones …
StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones
Much of the stress and strain of student life remains hidden. The StudentLife continuous
sensing app assesses the day-to-day and week-by-week impact of workload on stress …
sensing app assesses the day-to-day and week-by-week impact of workload on stress …
Multimedia big data computing and Internet of Things applications: A taxonomy and process model
With an exponential increase in the provisioning of multimedia devices over the Internet of
Things (IoT), a significant amount of multimedia data (also referred to as multimedia big data …
Things (IoT), a significant amount of multimedia data (also referred to as multimedia big data …