Title :
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
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;
Conference_Titel :
Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-6817-6
DOI :
10.1109/ICIIECS.2015.7192893
