Heart beats in the cloud: distributed analysis of electrophysiological 'Big Data' using cloud computing for epilepsy clinical research

The rapidly growing volume of multimodal electrophysiological signal data is playing a critical role in patient care and clinical research across multiple disease domains, such as epilepsy and sleep medicine. To facilitate secondary use of these data, there is an urgent need to develop novel algorit...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Journal of the American Medical Informatics Association : JAMIA Ročník 21; číslo 2; s. 263
Hlavní autoři:	Sahoo, Satya S, Jayapandian, Catherine, Garg, Gaurav, Kaffashi, Farhad, Chung, Stephanie, Bozorgi, Alireza, Chen, Chien-Hun, Loparo, Kenneth, Lhatoo, Samden D, Zhang, Guo-Qiang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England 01.03.2014
Témata:	Algorithms Arrhythmias, Cardiac - complications Arrhythmias, Cardiac - diagnosis Biomedical Research Computer Communication Networks - economics Confidentiality Cost-Benefit Analysis Databases, Factual Death, Sudden Electrocardiography Electrophysiologic Techniques, Cardiac Epilepsy - complications Epilepsy - physiopathology Health Insurance Portability and Accountability Act Humans Internet Signal Processing, Computer-Assisted United States United States Epilepsy and Seizure Ontology SUDEP Cloudwave Electrophsyiological Big Data MapReduce
ISSN:	1527-974X, 1527-974X
On-line přístup:	Zjistit podrobnosti o přístupu
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!