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Platform for Automated Real-Time High Performance Analytics on Medical Image Data
2018
IEEE journal of biomedical and health informatics
Here, we demonstrate a robust platform that uses software automation and high performance computing (HPC) resources to achieve real-time analytics of clinical data, specifically magnetic resonance imaging ...
We envision this platform can be adapted to other medical instruments, HPC resources, and analytics tools. ...
Acknowledgments We thank Rion Dooley for helpful discussions and assistance with the Agave API, and Vipulkumar Patel for help with the MRI experiments. ...
doi:10.1109/jbhi.2017.2771299
pmid:29505399
pmcid:PMC5858700
fatcat:52gkcagynfgp3m4qeqleqjc63y
Internet of Diagnostic Things: Emerging Horizon towards Precision and Digital Health Care
2021
Journal of Health Science Research
Application of IoT technology in diagnostic and healthcare opens a way for personalization in the medical care depending on individual needs, additionally giving option for well-organized way for remote ...
Intelligent sensors, wearable, digital imaging, smart phone based diagnostic and connected networking provides smart approach and platform towards precision diagnostics. ...
This provides a tool for real-time, automatic, safe, efficient way for decisions making based on collected data. ...
doi:10.7324/jhsr/2020/24981
fatcat:bkp2y4e6nnb3thyetkng7hb4lu
AI based HealthCare Platform for Real Time, Predictive and Prescriptive Analytics using Reactive Programming
2018
Journal of Physics, Conference Series
AI in Healthcare needed to bring real, actionable insights and Individualized insights in real time for patients and Doctors to support treatment decisions., We need a Patient Centred Platform for integrating ...
The system will be able to extract useful knowledge that helps in decision making and medical monitoring in real-time through an intelligent process analysis and big data processing. ...
Real-Time Analytics & Predictive Analytics: -Knowledge Discovery To take the Right decision for the Right patient at the right time by the doctors, Doctors/Physicians need knowledgeable Data, Real-Time ...
doi:10.1088/1742-6596/933/1/012010
fatcat:bfcdkoaqkjec5j4m43pi737lhu
Machine learning with cloud platforms
2021
Zenodo
This paper presents a general overview of how machine learning solutions may be implemented using modern cloud platforms. ...
Healthcare Natural Language AI performs real-time analysis of insights stored in unstructured medical text. It allows to distill machinereadable medical insights from medical documents. ...
(unified), fully managed, endto-end platform for data science and machine learning; Document AI that reduces document processing costs via automate data capturing at scale [2] . ...
doi:10.5281/zenodo.5555430
fatcat:jys6ar46szbrdkupfkhkuxvjim
Big Data Management for Healthcare Systems: Architecture, Requirements, and Implementation
2018
Advances in Bioinformatics
Based on the proposed architecture, a prototype implementation has been built for healthcare systems in order to generate real-time alerts. The suggested prototype is based on spark and MongoDB tools. ...
by generating real-time alerts and making accurate predictions on patient health condition. ...
Then, a big data processing architecture for healthcare industry has been presented; it is capable of handling the high amount of data generated by different medical sources in real time. ...
doi:10.1155/2018/4059018
pmid:30034468
pmcid:PMC6032968
fatcat:yrfof632dbhh7fyak2yabdd474
Detection and segmentation the affected brain using ThingSpeak platform based on IoT cloud analysis
2021
Periodicals of Engineering and Natural Sciences (PEN)
This work proposes a health care system based on medical image analysis processes in the programmable ThingSpeak platform using MATLAB built into the platform within the cloud. ...
patient data and presenting it to medical professionals anywhere in the world. ...
(analysis in real time) [6] . ...
doi:10.21533/pen.v9i2.1918
fatcat:6y2xjnmybzdvvm2t7vantirgz4
Context Aware SmartHealth Cloud Platform for Medical Diagnostics
2018
International Journal of Advanced Computer Science and Applications
Intensive medical data is generated that opens up research in healthcare analytics. ...
This analysis lead us to propose a data model for hybrid distributed simulation model for future Context Aware SmartHealth cloud platform for diagnostics. ...
. 2) Providing a test bed with automated real time patient data to input into diagnostics system is an important concern for validation through simulation. 3) diagnostics system for diabetic and its underlying ...
doi:10.14569/ijacsa.2018.090741
fatcat:kcl23226hjh47fmnuituhfndwi
Is this the real time for genomics?
2014
Genomics
Acknowledgment Authors gratefully acknowledge Cristina Calì, Alfia Corsino, Maria Patrizia D'Angelo and Francesco Marino for their administrative and technical support. ...
In Fig. 1 (panels d-h) we show an example of real-time microarray detection performed on the In Check Lab-on-Chip platform. ...
Almost all experimental and analytical phases depend on the operator, and the lack of automation further reduces accuracy and reproducibility. ...
doi:10.1016/j.ygeno.2014.02.003
pmid:24560816
fatcat:rg6qm2jgqfhebiy4pnt4uioiru
Big Data Analytics in Healthcare
2015
BioMed Research International
In this paper, we discuss some of these major challenges with a focus on three upcoming and promising areas of medical research: image, signal, and genomics based analytics. ...
Recent research which targets utilization of large volumes of medical data while combining multimodal data from disparate sources is discussed. ...
Bazil for his valuable comments on the paper. ...
doi:10.1155/2015/370194
pmid:26229957
pmcid:PMC4503556
fatcat:aicdxzoexnbarlnfyzjavm47ie
Leveraging Cloud Computing for Systematic Performance Management of Quality of Care
2016
Procedia Computer Science
We also introduce a framework for achieving systematic surveillance and performance management across the entire healthcare system. ...
In this paper, we review various cloud computing applications for surveillance and performance management of quality of care in healthcare. ...
BASN can perform classified learning and analysis in real time to provide early medical warnings 26 . ...
doi:10.1016/j.procs.2016.09.048
fatcat:bbbvmts3vfctnblhtq6w7wxkyy
Intelligent Platforms for Disease Assessment
2013
JACC Cardiovascular Imaging
Cardiac images and analytics will be available in real time on wearable computers. Wearable computers on glasses, wristbands, and professional clothing are not a futuristic dream anymore (19, 20) . ...
Wearable Computers The aforementioned strategies of cloud automation, robotics, data analytics, and cognitive tools can be projected to one of the many ways intelligent and efficient platforms could develop ...
doi:10.1016/j.jcmg.2013.09.003
pmid:24229773
fatcat:flq25t3cenewdle46lqboroywi
Machine learning services in the cloud
2021
Zenodo
Healthcare Natural Language AI performs real-time analysis of insights stored in unstructured medical text. It allows to distill machine-readable medical insights from medical documents. ...
(unified), fully managed, end-to-end platform for data science and machine learning; Document AI that reduces document processing costs via automate data capturing at scale [2] . ...
doi:10.5281/zenodo.5307094
fatcat:rnm2zdmtarcz3egvaigskdktce
High performance spatial query processing for large scale scientific data
2012
Proceedings of the on SIGMOD/PODS 2012 PhD Symposium - PhD '12
ii) How can we provide fast response queries on analytical imaging data to support biomedical research and clinical diagnosis? ...
However, the vast amount of spatially oriented morphological information poses major challenges for analytical medical imaging. ...
The goal of this proposal is to make fundamental contributions towards realizing an expressive, cost effective, and high performance medical imaging "GIS" for managing and querying analytical medical imaging ...
doi:10.1145/2213598.2213603
dblp:conf/sigmod/AjiW12
fatcat:ny6qktwfkrgspmrqq273xkzz3y
Proposed System for Remote Detection of Skin Diseases Using Artificial Intelligence
2021
International Journal of Scientific Research in Computer Science Engineering and Information Technology
This application can also be used as a real time teaching tool for medical students in the dermatology domain. ...
This system will make use of different techniques to analyze and process the image data based on various features of the images. ...
This application can also be used as a real time teaching tool for medical students in the dermatology domain. SVM. It detects three main skin diseases namely melanoma, Eczema, and Psoriasis. ...
doi:10.32628/cseit217244
fatcat:qhhfktxspraolnbxgecf7nwzza
A Preanalytic Validation Study of Automated Bone Scan Index: Effect on Accuracy and Reproducibility Due to the Procedural Variabilities in Bone Scan Image Acquisition
2016
Journal of Nuclear Medicine
Here, we have developed and performed preanalytical studies to assess the impact of the variability in scanning speed and in vendor-specific γ-camera on reproducibility and accuracy of the automated bone ...
The effect of the procedural variability in image acquisition on the quantitative assessment of bone scan is unknown. ...
However, the consistent analytic performance of the automated BSI platform is still predisposed to the procedural variability of bone scan. ...
doi:10.2967/jnumed.116.177030
pmid:27445289
pmcid:PMC6952052
fatcat:ryl3o2hlwzho7blhvdlgiuuz2i
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