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By Petra Perner

This booklet constitutes the refereed complaints of the sixteenth business convention on Advances in information Mining, ICDM 2016, held in big apple, big apple, united states, in July 2016.

The 33 revised complete papers provided have been conscientiously reviewed and chosen from a hundred submissions. the subjects diversity from theoretical features of information mining to functions of information mining, akin to in multimedia facts, in advertising, in drugs, and in technique keep an eye on, undefined, and society.

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Read Online or Download Advances in Data Mining. Applications and Theoretical Aspects: 16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016. Proceedings PDF

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Additional resources for Advances in Data Mining. Applications and Theoretical Aspects: 16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016. Proceedings

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According to Denavit-Hartenberg convention, the angle (h) of the rotary joints of MMSs must be identified to reconstruct the spine curvature in a certain position. h of an MMS is defined with respect to X-axis attached to its inferior MMS in the counterclockwise direction (Fig. 3). For example, h1 is the angle between X1 and X0, and it is measured with respect to X0 in the counterclockwise direction. The chain of MMSs is fully characterized to a given patient by specification of the number of MMSs and the length of their links.

7. The error between the actual and estimated spinal mobility Fig. 8. The error between the actual and estimated spinal flexibility 38 A. Jalalian et al. curvatures are to be a good estimate of the actual ones measured on the X-ray image. The parameters were obtained by using the estimated curvatures and compared with the actual parameters. The results are as follows. Analytic Cobb method [22, 23] was adopted to measure Cobb angle in the frontal plane because the chain of MMSs provides the spine curvature in this plane.

The mean values of the measurements were considered for the parameters. The measurements were supervised by GL (one of the authors) who is an experienced scoliosis surgeon at National University Hospital, Singapore. Data Mining in Medicine 33 Table 1. Descriptive data of the patients Patient Gender Age (year) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Female Female Female Female Female Female Female Female Female Female Female Female Male Male Male Male Male Male 13 15 16 12 13 16 19 14 15 13 12 14 14 19 18 18 14 19 Lenke classification [3] 1A 1B 1C 1C 2A 2B 2C 2C 3A 4C 5C 6C 2A 2B 2B 3B 3C 3C Thoracolumbar/lumbar Cobb angle (º) Thoracic Cobb angle (º) 24 39 46 48 53 35 43 54 59 63 62 59 47 26 28 24 53 70 49 53 32 33 38 53 48 55 54 86 49 51 59 48 61 46 31 50 The repeatability and reliability of the measurements were evaluated by using Pearson correlation coefficient.

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