Results 51 to 60 of about 1,690,370 (217)
Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan [PDF]
arXiv, 2022 Can mobile phone data improve program targeting? By combining rich survey data from a "big push" anti-poverty program in Afghanistan with detailed mobile phone logs from program beneficiaries, we study the extent to which machine learning methods can accurately differentiate ultra-poor households eligible for program benefits from ineligible households.
arxiv
Mobile phone data: challenges for spatial research
TeMA: Journal of Land Use, Mobility and Environment, 2022 The paper investigates if and how mobile phone data can help to describe the complexity of urban phenomena, highlighting the challenges faced by researchers integrating mobile phone data into their activities. Two perspectives are offered: the first is a
Paola Pucci
doaj +1 more source
Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review
Journal of Medical Internet Research, 2016 Background Globally, mobile phones have achieved wide reach at an unprecedented rate, and mobile phone apps have become increasingly prevalent among users.
Jing Zhao, B. Freeman, Mu Li
semanticscholar +1 more source
PLoS ONE, 2022 BackgroundAs mobile phone use grows, so it brings benefits and risks. As an important part of adolescents healthy growth, resilience plays an indispensable role.
Anna Ma +5 more
doaj +1 more source
Journal of Medical Internet Research, 2016 Background Long-term conditions and their concomitant management place considerable pressure on patients, communities, and health care systems worldwide. International clinical guidelines on the majority of long-term conditions recommend the inclusion of
L. Whitehead, Philippa Seaton
semanticscholar +1 more source
Journal of Family Medicine and Primary Care, 2021 Background: Globally, motor vehicle accidents (MVAs) cause around 1.35 million deaths annually. Distracted driving, a risk factor for MVA, includes diversion of attention from driving because of use of mobile phone.
Laila Abdulrahman Almansoor +1 more
doaj +1 more source
Research on Dongguan Mobile Phone Industry Development Status from the Patent Perspective
Zhishi guanli luntan, 2017 [Purpose/significance] Through the analysis of the patent of five Dongguan mobile phone industries, this paper aims at providing information references for the development of Dongguan mobile phone industry.
Qiu Yu
doaj +1 more source
Journal of Medical Internet Research, 2018 Background Mood disorders are common and associated with significant morbidity and mortality. Better tools are needed for their diagnosis and treatment. Deeper phenotypic understanding of these disorders is integral to the development of such tools. This
J. Zulueta +10 more
semanticscholar +1 more source
Journal of Technology in Behavioral Science, 2018 Contemporary technological advances have led to a significant increase in using mobile technologies. Recent research has pointed to potential problems as a consequence of mobile overuse, including addiction, financial problems, dangerous use (i.e. whilst
D. Kuss +5 more
semanticscholar +1 more source
Mobile Phone Use as Sequential Processes: From Discrete Behaviors to Sessions of Behaviors and Trajectories of Sessions [PDF]
, 2019 Mobile phone use is an unfolding process by nature. In this study, it is explicated as two sequential processes: mobile sessions composed of an uninterrupted set of behaviors and mobile trajectories composed of mobile sessions and mobile-off time. A dataset of a five-month behavioral logfile of mobile application use by approximately 2,500 users in ...
arxiv +1 more source