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We invite you to contribute your best work for presentation at the AMIA Annual Symposium – the foremost symposium for the science and practice of biomedical informatics. The AMIA 2018 Annual Symposium, to be held in San Francisco, November 3-7, 2018, invites submissions from informatics researchers and practitioners around the world.

Under the overall theme of “ Data, Technology, and Innovation for Better Health ” the Annual Symposium will build on more than 40 years of sharing pioneering research and insights for leveraging information to improve human health. Topics of interest span the spectrum from deciphering the underpinning phenomena of disease, to managing information and communications for improving patient care, to tracking the health of populations. The AMIA 2018 Annual Symposium will consider poster, podium abstract, regular paper, student paper, panel, demonstration, and workshop submissions that showcase the latest innovations from the community of biomedical informatics researchers and practitioners. We look forward to receiving your submissions by March 8, 2018 , and seeing you in November!

Data, Technology, and Innovation for Better Health March 8, 2018

Patricia C. Dykes, PhD, MA, RN, FACMI, ChairElizabeth S. Chen, PhD, Vice ChairGeorge Demiris, PhD, Vice ChairYang Gong, MD, PhD, Vice ChairLi Zhou, PhD, MD, Vice Chair

All submissions must be made through the ScholarOne submission site: https://amiaannual2018.abstractcentral.com

IMPORTANT! The person designated as a PRESENTER will receive all communications from AMIA regarding the submission.

By submitting to the AMIA 2018 Annual Symposium, all presenters agree that if their submission is accepted, they will register for the full conference at the designated author registration rate.

Complete the online submission form as instructed and attach your submission formatted in compliance with the directions provided. Please review instructions and requirements for each of the major parts of a submission:

Thoughtful classification of your submission helps to ensure that each submission is reviewed by persons knowledgeable about its content. In addition, it helps greatly in structuring the meeting sessions, allowing better grouping of papers and presentations by area of interest. We recognize that no classification system is perfect and ask you to use your best judgment in making the determination for which themes and keywords best reflect your submission’s content.

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Crowds at the Great Lakes Exposition.

Midway at the Great Lakes Exposition.

Show at Billy Rose's Aquacade at the Great Lakes Exposition.

260-pound ballerinas posing with the Goodyear blimp.

Fireworks at the Great Lakes Exposition.

Streets of the World, Great Lakes Exposition, Cleveland, Ohio, 1937.

Held in the summers of 1936 and 1937, the Great Lakes Exposition was sprawled over 135 acres of land near Cleveland's lakefront from W. 3rd St. to E. 20th St.

Organized to celebrate the centennial year of the incorporation of the city of Cleveland, the Great Lakes Exposition sought to highlight "the material, social and cultural progress which has been achieved in the Great Lakes Region in the past 100 years" and to "indicate the paths of progress for the future." 1

The Exposition featured hundreds of attractions, including rides, sideshows, botanical gardens, cafes, and more. In 1937, the Expo added an aquacade with water ballet shows featuring celebrities air jordan 1996 olympic shoes
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Some of the Cleveland/Northeast Ohio industries represented at the Expo included the nike free tr iii tribal print womens training shoe
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, not to mention appearances by the Goodyear Tire Rubber Co.'s ever-popular blimp .

The Special Collections Department of the Michael Schwartz Library at Cleveland State University makes available a variety of resources that document the history and events of the Exposition. Many of the materials, including 150+ photographs and color postcards have been digitized and are available for viewing on-line.

So take a step back in time and enjoy the sights of what was, without question, one of the most remarkable and beloved events in Cleveland history…

Photographs and Postcards Streaming Video Memorabilia Additional Resources for Further Study

1 Great Lakes Exposition Official Souvenir Guide , 1936.

Thanks to Maya Shumyatcher from Hawken School in Lyndhurst, Ohio, who digitized, researched and cataloged images on this site from the Charles L. Bradley Great Lakes Exposition photo collection as part of her Senior Project in the spring of 2010 and to Vern Morrison of the Digital Production Unit at the Michael Schwartz Library who provided much of the text for this page.

Quartiles are useful, but they are also somewhat limited because they do not take into account every score in our group of data. To get a more representative idea of spread we need to take into account the actual values of each score in a data set. The absolute deviation, variance and standard deviation are such measures.

The absolute and mean absolute deviation show the amount of deviation (variation) that occurs around the mean score. To find the total variability in our group of data, we simply add up the deviation of each score from the mean. The average deviation of a score can then be calculated by dividing this total by the number of scores. How we calculate the deviation of a score from the mean depends on our choice of statistic, whether we use absolute deviation, variance or standard deviation .

Perhaps the simplest way of calculating the deviation of a score from the mean is to take each score and minus the mean score. For example, the mean score for the group of 100 students we used earlier was 58.75 out of 100. Therefore, if we took a student that scored 60 out of 100, the deviation of a score from the mean is 60 - 58.75 = 1.25. It is important to note that scores above the mean have positive deviations (as demonstrated above), whilst scores below the mean will have negative deviations.

To find out the total variability in our data set, we would perform this calculation for all of the 100 students' scores. However, the problem is that because we have both positive and minus signs, when we add up all of these deviations, they cancel each other out, giving us a total deviation of zero. Since we are only interested in the deviations of the scores and not whether they are above or below the mean score, we can ignore the minus sign and take only the absolute value, giving us the absolute deviation . Adding up all of these absolute deviations and dividing them by the total number of scores then gives us the mean absolute deviation (see below). Therefore, for our 100 students the mean absolute deviation is 12.81, as shown below:

absolute deviation

Another method for calculating the deviation of a group of scores from the mean, such as the 100 students we used earlier, is to use the variance. Unlike the absolute deviation, which uses the absolute value of the deviation in order to "rid itself" of the negative values, the variance achieves positive values by squaring each of the deviations instead. Adding up these squared deviations gives us the sum of squares, which we can then divide by the total number of scores in our group of data (in other words, 100 because there are 100 students) to find the variance (see below). Therefore, for our 100 students, the variance is 211.89, as shown below:

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