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Call for Papers:Vol.11 Issue.3

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Title: :  Medical Documentation of Clinical Data and Disease Prediction
PaperId: :  10117
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 2 2019
DUI:    16.0415/IJARIIE-10117
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Manjunath R BhandageThe National Institute of Engineering, Mysuru, India
Shashanka B SThe National Institute of Engineering, Mysuru, India
Thanukumar T NThe National Institute of Engineering, Mysuru, India
Arunkumar B CThe National Institute of Engineering, Mysuru, India
Mrs. Nandini PThe National Institute of Engineering, Mysuru, India

Abstract

Computer Engineering
Medical Data Center, Health Care, Clinical Data Sharing, Disease Prediction
Fruitful organization of Electronic Health Record improves persistent wellbeing and nature of consideration, yet it has the essential of interoperability between Health Information Exchange at various clinics. The Clinical Document Architecture (CDA) created by HL7 is a center record standard to guarantee such interoperability and spread of this archive group is basic for interoperability. Shockingly, medical clinics are hesitant to embrace interoperable HIS because of its sending cost aside from in a bunch nation. An issue emerges notwithstanding when more clinics begin utilizing the CDA archive group on the grounds that the information dissipated in various reports are difficult to oversee. In this paper, we portray our CDA record age and combination Open API administration dependent on distributed computing, through which clinics are empowered to advantageously produce CDA reports without buying exclusive programming. Our CDA archive joining framework coordinates numerous CDA records per quiet into a solitary CDA report and doctors and patients can peruse the clinical information in sequential request. Our arrangement of CDA archive age and coordination depends on distributed computing and the administration is offered in Open API. Engineers utilizing diverse stages hence can utilize our framework to upgrade interoperability. In this situation, two completely dispersed security protecting profile coordinating conventions have been characterized, without depending on neither a customer server relationship nor any focal server. Homomorphic properties of Shamir mystery sharing are misused to process the crossing point between client profiles secretly, and because of the littler computational space of mystery sharing, the conventions can accomplish higher execution and lower vitality utilization for down to earth parameter settings of a web apparatus.

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IJARIIE Manjunath R Bhandage, Shashanka B S, Thanukumar T N, Arunkumar B C, and Mrs. Nandini P. "Medical Documentation of Clinical Data and Disease Prediction" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 2 2019 Page 2865-2871
MLA Manjunath R Bhandage, Shashanka B S, Thanukumar T N, Arunkumar B C, and Mrs. Nandini P. "Medical Documentation of Clinical Data and Disease Prediction." International Journal Of Advance Research And Innovative Ideas In Education 5.2(2019) : 2865-2871.
APA Manjunath R Bhandage, Shashanka B S, Thanukumar T N, Arunkumar B C, & Mrs. Nandini P. (2019). Medical Documentation of Clinical Data and Disease Prediction. International Journal Of Advance Research And Innovative Ideas In Education, 5(2), 2865-2871.
Chicago Manjunath R Bhandage, Shashanka B S, Thanukumar T N, Arunkumar B C, and Mrs. Nandini P. "Medical Documentation of Clinical Data and Disease Prediction." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 2 (2019) : 2865-2871.
Oxford Manjunath R Bhandage, Shashanka B S, Thanukumar T N, Arunkumar B C, and Mrs. Nandini P. 'Medical Documentation of Clinical Data and Disease Prediction', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 2, 2019, p. 2865-2871. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Medical_Data_Center_and_Disease_Prediction_ijariie10117.pdf (Accessed : 25 February 2020).
Harvard Manjunath R Bhandage, Shashanka B S, Thanukumar T N, Arunkumar B C, and Mrs. Nandini P. (2019) 'Medical Documentation of Clinical Data and Disease Prediction', International Journal Of Advance Research And Innovative Ideas In Education, 5(2), pp. 2865-2871IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Medical_Data_Center_and_Disease_Prediction_ijariie10117.pdf (Accessed : 25 February 2020)
IEEE Manjunath R Bhandage, Shashanka B S, Thanukumar T N, Arunkumar B C, and Mrs. Nandini P, "Medical Documentation of Clinical Data and Disease Prediction," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 2, pp. 2865-2871, Mar-App 2019. [Online]. Available: https://ijariie.com/AdminUploadPdf/Medical_Data_Center_and_Disease_Prediction_ijariie10117.pdf [Accessed : 25 February 2020].
Turabian Manjunath R Bhandage, Shashanka B S, Thanukumar T N, Arunkumar B C, and Mrs. Nandini P. "Medical Documentation of Clinical Data and Disease Prediction." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 2 (25 February 2020).
Vancouver Manjunath R Bhandage, Shashanka B S, Thanukumar T N, Arunkumar B C, and Mrs. Nandini P. Medical Documentation of Clinical Data and Disease Prediction. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : 25 February 2020]; 5(2) : 2865-2871. Available from: https://ijariie.com/AdminUploadPdf/Medical_Data_Center_and_Disease_Prediction_ijariie10117.pdf
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