Introduction to the Minitrack on Big Data on Healthcare Application

The internet connectivity extended by the internet of things to all the tangible things lying around and used by us in our day today life has convert the devices into smart objects and led to huge set of data generation that holds both the valuable and invaluable information. In order to perfectly handle the information’s generated and mine the valuables from them, the analytics are engaged by the cloud. To have a timely access, most probably the fog services are preferred than the cloud as they bring down the service of the cloud to the user edge and reduces the time complexity in accessing of the information. So the paper proposes the big data analytics for the fog assisted health care application to effectively handle the health information’s diagnosed for the aged persons. The proposed model is simulated using the IFogSim toolkit to examine the performance fogassisted smart healthcare application.

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Study of asian diabetic subjects based on gender, age, and insulin parameters: healthcare application with IoT and Big Data

Healthcare Paradigms in the Internet of Things Ecosystem ◽

10.1016/b978-0-12-819664-9.00015-6 ◽

2021 ◽

pp. 333-362

Author(s):

Rohit Rastogi ◽

Parul Singhal ◽

D.K. Chaturvedi ◽

Santosh Satya ◽

Navneet Arora ◽

...

Keyword(s):

Big Data ◽

Healthcare Application

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Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽

10.1044/leader.an5.18022013.59 ◽

2013 ◽

Vol 18 (2) ◽

pp. 59-59

Keyword(s):

Big Data

Find Out About 'Big Data' to Track Outcomes

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U.S., Canada Collaborate on Big Data in ASD Research

ASHA Leader ◽

10.1044/leader.nib4.20122015.16 ◽

2015 ◽

Vol 20 (12) ◽

pp. 16-16

Keyword(s):

Big Data

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Correlating Personality and Actual Phone Usage

Journal of Individual Differences ◽

10.1027/1614-0001/a000139 ◽

2014 ◽

Vol 35 (3) ◽

pp. 158-165 ◽

Cited By ~ 38

Author(s):

Christian Montag ◽

Konrad Błaszkiewicz ◽

Bernd Lachmann ◽

Ionut Andone ◽

Rayna Sariyska ◽

...

Keyword(s):

Big Data ◽

Social Network ◽

Mobile Phone ◽

Mobile Phones ◽

Self Report ◽

Psychological Variables ◽

New Approach ◽

Report Data ◽

Self Report Data ◽

Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

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