Results 171 to 180 of about 24,555,064 (226)

Contexts and Mechanisms Related to the Efficacy of Digital Medication Adherence Interventions to Support Medication Adherence Among Adults With Chronic Diseases: Realist Review. [PDF]

Interact J Med Res
Saha S, Latham Y, Holland C.
europepmc   +1 more source

Wearable Electronic Devices for Alzheimer's Disease Care: A Systematic Review of Applications, Benefits, and Challenges. [PDF]

Health Sci Rep
Esmailzadeh A, Norouzkhani N, Sezavar Dokhtfaroughi S, Rasoulian A, Mazaheri Habibi MR.   +4 more
europepmc   +1 more source

Barrier identification and strategic design for hypertriglyceridemia management in the post-acute coronary syndrome patient population at a large integrated health system. [PDF]

Am Heart J Plus
Salvati ZM, Walters NL, Brangan A, Keiser B, Johns A, Voyce SJ, Kolodny L, Philip S, Jones LK, LeMaire SA, deRichemond C.   +10 more
europepmc   +1 more source

The potential of public transport smart card data

Transport Policy, 2005
The potential role of smart card data for travel behaviour analysis is considered. Case studies of smart card experience in Britain are examined, of the pensioner concessionary pass in Southport, Merseyside, and the commercially operated scheme in Bradford. The nature of smart card data puts an emphasis on concept definition and rules-based processing.
Bagchi, M, White, P R
exaly   +7 more sources

Space–time classification of public transit smart card users’ activity locations from smart card data

Public Transport, 2021
Smart card data from public transit systems has proven to be useful to understand the behaviors of public transit users. Relevant research has been done concerning: (1) the utilization of smart card data, (2) data mining techniques and (3) the utilization of data mining in smart card data. In prior research, the classification of user behavior has been
Li He, Martin Trépanier, Bruno Agard
openaire   +5 more sources

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Measuring transit use variability with smart-card data

Transport Policy, 2007
The potential of smart-card data for measuring the variability of urban public transit network use is the focus of this paper. Data collected during 277 consecutive days of travel on a Canadian transit network are processed for this purpose. The organization of data using an object-oriented approach is discussed.
Morency, Catherine, Trepanier, Martin, Agard, Bruno   +2 more
openaire   +4 more sources

Big Data in Transport Geography:Estimating the quality of Smart Card Data

, 2016
The emergence of new tracking technologies and Big Data has caused a transformation of the transport geography field in recent years. One new datatype, which is starting to play a significant role in public transport, is smart card data. Despite the growing focus on smart card data, there is a need for studies that explicitly compare the quality of ...
Reinau, Kristian Hegner, Agerholm, Niels, Lahrmann, Harry Spaabæk; id_orcid 0000-0001-6339-4586   +2 more
openaire   +2 more sources

MinExp-card

Proceedings of the 16th International Conference on Extending Database Technology, 2013
Online services such as social care, tax services, bank loans and many others, request individuals to fill in application forms with hundreds of private data items, in order to calibrate their offer. In practice, far too much data is requested, leading to over data disclosure.
Anciaux, Nicolas, Bezza, Walid, Nguyen, Benjamin, Vazirgiannis, Michalis   +3 more
openaire   +3 more sources

Clustering Smart Card Data for Urban Mobility Analysis

IEEE Transactions on Intelligent Transportation Systems, 2017
Smart card data gathered by automated fare collection (AFC) systems are valuable resources for studying urban mobility. In this paper, we propose two approaches to cluster smart card data, which can be used to extract mobility patterns in a public transportation system.
El Mahrsi, Mohamed Khalil, Come, Etienne, Oukhellou, Latifa, Verleysen, Michel   +3 more
openaire   +2 more sources

Detecting Pickpocketing Gangs on Buses with Smart Card Data

IEEE Intelligent Transportation Systems Magazine, 2019
Detecting pickpocketing gangs on buses is critical for safety and public security department. Knowing this both in real time and from historical records would allow effective law enforcement and crime prevention. However, very little research has been devoted into identifying pickpocketing gangs in an automated and holistic manner.
Xia Zhao 0003, Yong Zhang 0029, Hao Liu 0040, Shaofan Wang 0001, Zhen Sean Qian, Yongli Hu, Baocai Yin   +6 more
openaire   +1 more source