Exploring data reduction strategies in the analysis of continuous pressure imaging technology

[1]  Nishita Mehta,et al.  Concurrence of big data analytics and healthcare: A systematic review , 2018, Int. J. Medical Informatics.

[2]  Md Saiful Islam,et al.  A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining , 2018, Healthcare.

[3]  Prem Prakash Jayaraman,et al.  Big Data Reduction Methods: A Survey , 2016, Data Science and Engineering.

[4]  D. Dimitrov Medical Internet of Things and Big Data in Healthcare , 2016, Healthcare informatics research.

[5]  Jake Luo,et al.  Big Data Application in Biomedical Research and Health Care: A Literature Review , 2016, Biomedical informatics insights.

[6]  Henry T. Stelfox,et al.  Efficacy of a pressure-sensing mattress cover system for reducing interface pressure: study protocol for a randomized controlled trial , 2015, Trials.

[7]  M M Hansen,et al.  Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives , 2014, Yearbook of Medical Informatics.

[8]  D. Bates,et al.  Big data in health care: using analytics to identify and manage high-risk and high-cost patients. , 2014, Health affairs.

[9]  Kristen Thurman,et al.  Visual Feedback of Continuous Bedside Pressure Mapping to Optimize Effective Patient Repositioning. , 2014, Advances in wound care.

[10]  Viju Raghupathi,et al.  Big data analytics in healthcare: promise and potential , 2014, Health Information Science and Systems.

[11]  J. Hans DeVries,et al.  Accuracy and reliability of continuous glucose monitoring systems: a head-to-head comparison. , 2013, Diabetes technology & therapeutics.

[12]  P Sargious,et al.  The effect of continuous pressure monitoring on strategic shifting of medical inpatients at risk for PUs. , 2012, Journal of wound care.

[13]  Y. Chui,et al.  Measurement of wood shrinkage in jack pine using three dimensional digital image correlation (DIC) , 2012 .

[14]  K. Agrawal,et al.  Pressure ulcers: Back to the basics , 2012, Indian Journal of Plastic Surgery.

[15]  J. Manyika Big data: The next frontier for innovation, competition, and productivity , 2011 .

[16]  A Depeursinge,et al.  Clinical Data Mining: a Review , 2009, Yearbook of Medical Informatics.

[17]  Gojiro Nakagami,et al.  Continuous monitoring of interface pressure distribution in intensive care patients for pressure ulcer prevention. , 2009, Journal of advanced nursing.

[18]  E. Brown,et al.  Quantitative analysis of mRNA amplification by in vitro transcription. , 2001, Nucleic acids research.

[19]  Z. Irani,et al.  Critical analysis of Big Data challenges and analytical methods , 2017 .

[20]  M. Peterson,et al.  Patient repositioning and pressure ulcer risk--monitoring interface pressures of at-risk patients. , 2013, Journal of rehabilitation research and development.

[21]  Jiayang Sun,et al.  New technique for real-time interface pressure analysis: getting more out of large image data sets. , 2008, Journal of rehabilitation research and development.

[22]  Hilde van der Togt,et al.  Publisher's Note , 2003, J. Netw. Comput. Appl..