Scalable Combinatorial Tools for Health Disparities Research
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Cited by:
- Yuqin Jiao & Julie K. Bower & Wansoo Im & Nicholas Basta & John Obrycki & Mohammad Z. Al-Hamdan & Allison Wilder & Claire E. Bollinger & Tongwen Zhang & Luddie Sr. Hatten & Jerrie Hatten & Darryl B. H, 2015. "Application of Citizen Science Risk Communication Tools in a Vulnerable Urban Community," IJERPH, MDPI, vol. 13(1), pages 1-24, December.
- Anne D. Kershenbaum & Michael A. Langston & Robert S. Levine & Arnold M. Saxton & Tonny J. Oyana & Barbara J. Kilbourne & Gary L. Rogers & Lisaann S. Gittner & Suzanne H. Baktash & Patricia Matthews-J, 2014. "Exploration of Preterm Birth Rates Using the Public Health Exposome Database and Computational Analysis Methods," IJERPH, MDPI, vol. 11(12), pages 1-21, November.
- Paul D. Juarez & Patricia Matthews-Juarez & Darryl B. Hood & Wansoo Im & Robert S. Levine & Barbara J. Kilbourne & Michael A. Langston & Mohammad Z. Al-Hamdan & William L. Crosson & Maurice G. Estes &, 2014. "The Public Health Exposome: A Population-Based, Exposure Science Approach to Health Disparities Research," IJERPH, MDPI, vol. 11(12), pages 1-30, December.
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Keywords
combinatorial algorithms; data science; graph theoretical techniques; health disparities research; heterogeneous data analysis; high performance computing; public health exposome; relevance networks; scalable computation;All these keywords.
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