Implementing Big Data analytics to predict Systemic Lupus Erythematosus

Author

Gomathi, S. ; Narayani, V.

Author_Institution

Dept. of Inf. & Comput. Technol., Sri Krishna Arts & Sci. Coll., Coimbatore, India

fYear

2015

fDate

19-20 March 2015

Firstpage

1

Lastpage

5

Abstract

Medical data consist of enormous formats such as images, audio, video, medical reports etc. Managing all these data needs advanced technique and technology which must have large storage, centralized distribution and patients record management which will be highly possible with Big Data. Big Data is majorly used in clinical operations, research & development and public health. Systemic Lupus Erythematosus also termed as Lupus is an autoimmune disease. The prediction of the disease will be easier if it is implemented using Big Data. The paper deals with the possibilities about how to implement Big Data to predict Lupus disease.

Keywords

Big Data; diseases; electronic health records; medical disorders; storage management; Big Data analytic; autoimmune disease; centralized distribution; clinical operation; data management; disease prediction; medical data; patient record management; public health; systemic Lupus erythematosus prediction; Arthritis; Big data; Conferences; Data mining; Diseases; Immune system; Big Data; Lupus; auto immune; healthcare sector; unstructured data; volume;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-6817-6

Type

conf

DOI

10.1109/ICIIECS.2015.7192893

Filename

7192893