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Title: :  tracking patient disease through symptons via sparse deep learning
PaperId: :  2842
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 4 2016
DUI:    16.0415/IJARIIE-2842
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sonali C. SethiAditya Engineering College,Beed
kulkarni P.R.Aditya Engineering College,Beed

Abstract

Computer Engineering
data mining, disease inference, deep learning.
Automatic disease inference is of significance to overcome any issues between what online health seekers with strange side effects need and what occupied human doctor with one-sided aptitude can offer. However, accurately and efficiently inferring diseases is non-trivial, especially for community-based health services due to the vocabulary gap, incomplete information, correlated medical concepts, and limited high quality training samples. Here the sparse deep learning algorithm is used as the data mining technique. Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures, with complex structures. The proposed scheme uses question-answering, deep learning as inferring methods. Some attributes used are raw features, medical attributes etc. The proposed scheme is comprised of two key components. The first globally mines the discriminate medical signatures from raw features. The second deems the raw features and their signatures as input nodes in one layer and hidden nodes in the subsequent layer, respectively. Meanwhile, it learns the inter-relations between these two layers via pre-training with pseudo- labeled data. . This paper present idea of deep learning architecture which is used in the health care domain for the diagnosis of diseases.

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IJARIIE Sonali C. Sethi, and kulkarni P.R.. "tracking patient disease through symptons via sparse deep learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 4 2016 Page 111-117
MLA Sonali C. Sethi, and kulkarni P.R.. "tracking patient disease through symptons via sparse deep learning." International Journal Of Advance Research And Innovative Ideas In Education 2.4(2016) : 111-117.
APA Sonali C. Sethi, & kulkarni P.R.. (2016). tracking patient disease through symptons via sparse deep learning. International Journal Of Advance Research And Innovative Ideas In Education, 2(4), 111-117.
Chicago Sonali C. Sethi, and kulkarni P.R.. "tracking patient disease through symptons via sparse deep learning." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 4 (2016) : 111-117.
Oxford Sonali C. Sethi, and kulkarni P.R.. 'tracking patient disease through symptons via sparse deep learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 4, 2016, p. 111-117. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/tracking_patient_disease_through_symptons_via_sparse__deep_learning_ijariie2842.pdf (Accessed : ).
Harvard Sonali C. Sethi, and kulkarni P.R.. (2016) 'tracking patient disease through symptons via sparse deep learning', International Journal Of Advance Research And Innovative Ideas In Education, 2(4), pp. 111-117IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/tracking_patient_disease_through_symptons_via_sparse__deep_learning_ijariie2842.pdf (Accessed : )
IEEE Sonali C. Sethi, and kulkarni P.R., "tracking patient disease through symptons via sparse deep learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 4, pp. 111-117, Jul-Aug 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/tracking_patient_disease_through_symptons_via_sparse__deep_learning_ijariie2842.pdf [Accessed : ].
Turabian Sonali C. Sethi, and kulkarni P.R.. "tracking patient disease through symptons via sparse deep learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 4 ().
Vancouver Sonali C. Sethi, and kulkarni P.R.. tracking patient disease through symptons via sparse deep learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(4) : 111-117. Available from: https://ijariie.com/AdminUploadPdf/tracking_patient_disease_through_symptons_via_sparse__deep_learning_ijariie2842.pdf
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