A cloud based analytics medical system comprises a processor, a memory, an input/output interface to access data from medical hub communication devices, each coupled to a surgical instrument, and a database. The processor generates medical usage patterns of medical devices based on aggregation usage...
A SURVEY OF CURRENT RESEARCH AND FUTURE DIRECTIONS USING CLOUD-BASED BIG DATA ANALYTICS Mrs. K.Vasuki1 . Mrs. K.Rajeswari2 , Dr.M.Prabakaran3 1, ... M. Vasuki,K. Rajeswari,Dr. M. Prabakaran 被引量: 0发表: 2018年 Video Big Data Analytics in the Cloud: A Reference Architecture, Su...
A Cloud Based Big Data Health-Analytics-as-a-Service Framework to Support Low Resource Setting Neonatal Intensive Care Unit 来自 Semantic Scholar 喜欢 0 阅读量: 30 作者:M Bastwadkar,C Mcgregor,S Balaji 摘要: Critical care patients are monitored by a range of medical devices collecting high ...
Natural Language Processing (NLP) in the medical field has the potential to dramatically influence the way in which everyday clinical care and medical rese... K Chard,M Russell,YA Lussier,... - International Symposium on Computer-based Medical Systems 被引量: 24发表: 2011年 Pharmacovigilance pr...
Massively parallel single-cell and single-nucleus RNA sequencing has opened the way to systematic tissue atlases in health and disease, but as the scale of data generation is growing, so is the need for computational pipelines for scaled analysis. Here we developed Cumulus—a cloud-based framework...
The move towards a cloud-based system came about when the South Korean government changed regulations to allow digital hospital records to be stored externally, rather than in onsite data centres. The change allowed for cloud storage of the data from more than 100 hospitals, medical centres and ...
Virtual integration of distributed patient data promises advantages over a consolidated health record, but raises questions mainly about practicability and... J Bergmann,OJ Bott,DP Pretschner,... - 《International Journal of Medical Informatics》 被引量: 78发表: 2007年 Medical Information Management:...
A Security Model for Preserving the Privacy of Medical Big Data in a Healthcare Cloud Using a Fog Computing Facility With Pairing-Based Cryptography Nowadays, telemedicine is an emerging healthcare service where the healthcare professionals can diagnose, evaluate, and treat a patient using telecommun...
The risk of diseases for new coming medical data can be computed based on the prediction models. In particular, PPDP builds on new medical data encryption, disease learning and disease prediction algorithms that novelly utilize random matrices. Security analysis indicates that PPDP offers a required...
Butler has a prebuilt library of workflows that focus on handling genomic data and can support a large variety of studies that are based on next-generation sequencing applications, such as variant discovery, common and rare variant association studies, cancer genome analysis, and expression quantitati...