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. 2015 Sep 22;17(9):e219. doi: 10.2196/jmir.4976

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©Zhongkai Hu, Shiying Hao, Bo Jin, Andrew Young Shin, Chunqing Zhu, Min Huang, Yue Wang, Le Zheng, Dorothy Dai, Devore S Culver, Shaun T Alfreds, Todd Rogow, Frank Stearns, Karl G Sylvester, Eric Widen, Xuefeng Ling. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 22.09.2015.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

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Prospective analysis of next 6-month resource utilizations stratified by chronic diseases. Bubble chart of all 178 chronic diseases (red for diseases with top 20 patient counts and pink for others) stored in our database together with the nonchronic disease group (green). Each bubble represents a chronic disease group, demonstrating mean values of the next 6-month resource utilization and the risks of the patients diagnosed with that disease. The bubble diameter is proportional to the patient counts. Outliers are marked with black circles.