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Applying Big Data Methods to Understanding Human Behavior and Health

Ahmed A. Moustafa, Thierno M. O. Diallo, Nicola Amoroso, Nazar Zaki, Mubashir Hassan, Hany Alashwal
2018 Frontiers in Computational Neuroscience  
It is important to note human behavior and health issues are quite complex.  ...  WHY BIG DATA METHODS HAVE BEEN RARELY APPLIED TO PSYCHOLOGY?  ...  The reviewer XZ and handling Editor declared their shared affiliation at the time of review. Copyright © 2018 Moustafa, Diallo, Amoroso, Zaki, Hassan and Alashwal.  ... 
doi:10.3389/fncom.2018.00084 pmid:30386225 pmcid:PMC6198277 fatcat:zmag5hifwzctznia47t52yhod4

Advancing Cancer Prevention and Behavior Theory in the Era of Big Data

Audie A. Atienza, Katrina J. Serrano, William T. Riley, Richard P. Moser, William M. Klein
2016 Journal of Cancer Prevention  
The era of "Big Data" presents opportunities to substantively address cancer prevention and control issues by improving health behaviors and refining theoretical models designed to understand and intervene  ...  The objectives of this paper are to discuss conceptual definitions of the terms "model" and "Big Data", as well as examine the promises and challenges of Big Data to advance cancer prevention and control  ...  ACKNOWLEDGMENTS This paper was based, in part, on a NCI workshop "Big Data and Theory Advancement" which included the following participants:  ... 
doi:10.15430/jcp.2016.21.3.201 pmid:27722147 pmcid:PMC5051595 fatcat:kao6ivxsgjdgbe4jz4aqryyg5y

The Mobilize Center: an NIH big data to knowledge center to advance human movement research and improve mobility

Joy P Ku, Jennifer L Hicks, Trevor Hastie, Jure Leskovec, Christopher Ré, Scott L Delp
2015 JAMIA Journal of the American Medical Informatics Association  
Our three driving biomedical problems apply methods developed within these data science cores, serving as examples of our general process for harnessing big data to improve the health of those with limited  ...  However, we lack established scientific principles or methods to apply to such large volumes of noisy, sparse human activity data.  ...  COMPETING INTERESTS The authors have no competing interests to declare.  ... 
doi:10.1093/jamia/ocv071 pmid:26272077 pmcid:PMC4639715 fatcat:uasuyhc5w5bjhjfqww4d65dzdu

Big Data's Role in Precision Public Health

Shawn Dolley
2018 Frontiers in Public Health  
data, technologies, and methods.  ...  Precision public health is an emerging practice to more granularly predict and understand public health risks and customize treatments for more specific and homogeneous subpopulations, often using new  ...  being applied to public health, and (c) searched for uses of data in precision public health to identify big vs. small data-always using the definition of these terms rather than relying on the presence  ... 
doi:10.3389/fpubh.2018.00068 pmid:29594091 pmcid:PMC5859342 fatcat:htgo6zyriffjdkvn5mknzvrquu

Big data analytics applied to health services: a literature review

Myller Augusto Santos Gomes, Vander Luiz Da Silva, João Luiz Kovaleski, Regina Negri Pagani
2021 Exacta  
The purpose of this study is to understand the concepts and evolution of big data analytics applied to health services, considering activities that involve the diagnosis, treatment, and management of the  ...  The literature review, consulting the databases Science Direct, Scopus and Web of Science and employing the keywords health analytics and big data analytics with no time restrictions, found papers that  ...  to gain a new understanding of the patient's health through big data and modeling tools are the object of study by authors Cano et al., (2017) entitled Perspectives on Big Data applications of health  ... 
doi:10.5585/exactaep.2021.17297 fatcat:idkxclkfe5exjbq5imj3fbtfdu

Reports of the 2014 AAAI Spring Symposium Series

Manish Jain, Albert Xin Jiang, Takashi Kiddo, Keiki Takadama, Eric G. Mercer, Neha Rungta, Mark Waser, Alan Wagner, Jennifer Burke, Don Sofge, William Lawless, Mohan Sridharan (+2 others)
2014 The AI Magazine  
The titles of the eight symposia were Applied Computational Game Theory, Big Data Becomes Personal: Knowledge into Meaning, Formal Verification and Modeling in Human-Machine Systems, Implementing Selves  ...  The Association for the Advancement of Artificial Intelligence was pleased to present the AAAI 2014 Spring Symposium Series, held Monday through Wednesday, March 24–26, 2014.  ...  , (4) big data analysis, (5) vital and brain data monitoring and analysis, (6) mobile and self-tracking health data, (7) sensing data for health and wellness, (8) personal identity, (9) detection from  ... 
doi:10.1609/aimag.v35i3.2550 fatcat:3phsxu5mqzdurft7snmexmpnlu

Advances in Nursing Research Methodology: Big Data Analytics the Future

Phyllis Hansell
2017 International Journal of Nursing & Clinical Practices  
The management of big data requires special ethical consideration by the IRB to insure that the project is either exempt or excluded and free from human subjects' concerns.  ...  Big data methodology is important to and the advancement of nursing science and healthcare in the Digital Age.  ...  According to Grady [6] the understanding of big data methods and their application has the potential to advance the understanding of human health, as well as, response to human disease.  ... 
doi:10.15344/2394-4978/2017/220 fatcat:vvtq3e3ftrf6hockikvyhsffde

Urban Health and Wellbeing [chapter]

Clive E. Sabel, Prince M. Amegbor, Zhaoxi Zhang, Tzu-Hsin Karen Chen, Maria B. Poulsen, Ole Hertel, Torben Sigsgaard, Henriette T. Horsdal, Carsten B. Pedersen, Jibran Khan
2021 The Urban Book Series  
The applications of these data, methods, and techniques are then illustrated taking examples from BERTHA (Big Data Centre for Environment and Health) based at Aarhus University, Denmark.  ...  The chapter begins with a review of smart cities and health and then delves into the types of data available to researchers.  ...  Similarly, researchers have also applied machine-learning methods to data from personalized sensors and streetview images to understand dynamism in the urban space and its effect on mental health as well  ... 
doi:10.1007/978-981-15-8983-6_17 fatcat:xpdnxnckyvfsnbuo6knyyjy2pq

Innovation and Big Data in Smart Service Systems

Paul P. Maglio, Chie-Hyeon Lim
2016 Journal of Innovation Management  
In this short letter, we describe some of our perspective on the use of big data analytics in smart service systems, suggesting one framework for thinking about big data in this context and outlining a  ...  Service systems have been getting smarter over time, as big data analytics have been used to generate information and automate operations that create ever more value for people in the service systems.  ...  Second, smart customization and prevention (shown in the upper left of Figure 1 ) relies on data from people (e.g. human health, behavioral, and purchase history data) to manage objects.  ... 
doi:10.24840/2183-0606_004.001_0003 fatcat:5k77tdqsnzh3xjkc3ijmvpjdhq

Healthcare Analytics: A Comprehensive Review

A. Alghamdi, T. Alsubait, A. Baz, H. Alhakami
2021 Engineering, Technology & Applied Science Research  
Big data have attracted significant attention in recent years, as their hidden potentials that can improve human life, especially when applied in healthcare.  ...  Big data is a reasonable collection of useful information allowing new breakthroughs or understandings.  ...  The same algorithms can be used to stipulate the relationships between cause and effects of human behaviors and diseases [24] .  ... 
doi:10.48084/etasr.3965 fatcat:zwr6lojosrairjtjvd42i5dcey

Big Data in Medical Research and Application

Teng Yilin, Cao Gaofang, Wang Rui, Changde Lu, Xuesheng Pei, Jianning Su
2018 MATEC Web of Conferences  
The future medicine tends to combine data and medicine, to master gene database and medical human disease data, then to apply data statistics and analysis and application in healthcare.  ...  In other aspects, it analyses the problems of medical big data in applied research.  ...  From public health and personal health data to the level of individual cell biology "omics".The use of big data mining, data fusion and data analysis methods can provide a comprehensive, new understanding  ... 
doi:10.1051/matecconf/201817603017 fatcat:lpha5exymzeilgpzd7cvlkmdvm

Big Data and the Study of Social Inequalities in Health: Expectations and Issues

Cyrille Delpierre, Michelle Kelly-Irving
2018 Frontiers in Public Health  
Understanding the construction of the social gradient in health is a major challenge in the field of social epidemiology, a branch of epidemiology that seeks to understand how society and its different  ...  Nevertheless, real challenges have to be addressed in order to make the best use of the development of Big Data in health for the benefit of all.  ...  AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.  ... 
doi:10.3389/fpubh.2018.00312 pmid:30416994 pmcid:PMC6212467 fatcat:kbtyrljogrhnpkb5oco35xqhrq

Digital Epidemiology: Forecasting Epidemics in the Era of Social Media and Mobile Devices Big-Data

Mohamed Khalil, Mohamed Said, Hesham Osman, Belal Ahmed, Dalia Ahmed, Naheel Younis, Beshoy Maher, Mohamed Osama, Mohamed Ashmawy
2019 The International Journal of Science & Technoledge  
Such big data can be used to track and monitor infectious diseases and to give a better understanding of diseases outbreaks.  ...  The revolution of digital big data in the era of advanced technology has led to the rise of the field of digital epidemiology.  ...  In other words, epidemiological big data analytics can extract smart data from the collected big data to give a better understanding of the impact of infectious diseases on human societies (Fung, I.C.H  ... 
doi:10.24940/theijst/2019/v7/i2/st1902-007 fatcat:aswwtnd6yzg5vngnspjxqmqzxe

Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions

Heather Cole-Lewis, Nnamdi Ezeanochie, Jennifer Turgiss
2019 JMIR Formative Research  
lead to health behavior engagement (Big E).  ...  This framework can be applied to DBCI to support various health behaviors and outcomes and can be utilized to identify gaps in intervention efficacy and effectiveness.  ...  Utilizing all data available (little e UI , little e BCT , Big E), statistical and computational analyses can be utilized to understand patterns of human behavior, identify determinants of human behavior  ... 
doi:10.2196/14052 pmid:31603427 pmcid:PMC6813486 fatcat:l65g4vdmdfd2do3ra2vnqu7fni

Humanizing Big Data: Recognizing the Human Aspect of Big Data

Kathy Helzlsouer, Daoud Meerzaman, Stephen Taplin, Barbara K. Dunn
2020 Frontiers in Oncology  
, keeping in mind the human aspect of the data source and considering where the impact of the data will be translated and applied.  ...  Considerations in this "humanizing" process include providing adequate counseling and consent for genetic testing in all settings, as well as understanding the strengths and limitations of assays and their  ...  The latter activities reflect the "humanizing" of big data as applied to genomic medicine.  ... 
doi:10.3389/fonc.2020.00186 pmid:32231993 pmcid:PMC7082327 fatcat:es4eu6k5fbbh7og74jq2iomlum
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