A study on medical Internet of Things and Big Data in personalized healthcare system

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A study on medical Internet of Things and Big Data in personalized healthcare system

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http://www.wikidata.org/entity/Q57071860

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article

@en

wetenschappelijk artikel

@nl

наукова стаття, опублікована в грудні 2018

@uk

name

A study on medical Internet of Things and Big Data in personalized healthcare system

@en

A study on medical Internet of Things and Big Data in personalized healthcare system

@nl

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A study on medical Internet of Things and Big Data in personalized healthcare system

@en

A study on medical Internet of Things and Big Data in personalized healthcare system

@nl

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A study on medical Internet of Things and Big Data in personalized healthcare system

@en

A study on medical Internet of Things and Big Data in personalized healthcare system

@nl

P1476

A study on medical Internet of Things and Big Data in personalized healthcare system

@en

P2093

R Logesh

http://www.w3.org/2001/XMLSchema#string

V Jagadeeswari

http://www.w3.org/2001/XMLSchema#string

V Subramaniyaswamy

http://www.w3.org/2001/XMLSchema#string

V Vijayakumar

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P2860

Zika virus outbreak: an overview of the experimental therapeutics and treatment

Big data analytics in healthcare: promise and potential

Secure and Energy-Efficient Data Transmission System Based on Chaotic Compressive Sensing in Body-to-Body Networks.

SECURE INTERNET OF THINGS-BASED CLOUD FRAMEWORK TO CONTROL ZIKA VIRUS OUTBREAK.

Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology.

Prospective Observational Study on the Association Between Serum Mannose-Binding Lectin Levels and Severe Outcome in Critically Ill Patients with Pandemic Influenza Type A (H1N1) Infection.

Healthcare-based on Cloud Electrocardiogram System: A Medical Center Experience in Middle Taiwan.

Diagnostic concordance between mobile interfaces and conventional workstations for emergency imaging assessment.

Surface electromyography can quantify temporal and spatial patterns of activation of intrinsic human foot muscles.

Automatic smartphone-based microfluidic biosensor system at the point of care.

P2888

s13755-018-0049-x

P304

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P31

scholarly article

P356

10.1007/S13755-018-0049-X

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P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2018-12-01T00:00:00Z

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P698

30279984

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P921

big data

P932

6146872

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