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Identify risk of disease via real time sensors

Consumer-ported real time sensor devices (phones, watches etc) provide data for remote analysis. Analysis provided can be personal or via medical practitioner.

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Risk reduction
Risk reduction - Predictive diagnosis
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Operational Support
Operational Support - Issue triage
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Operational Support
Operational Support - Issue / outlier ID
Description

Identify risk of disease via real time sensors

Linked Case Studies
Case Study
Danish Emergency Services
Danish emergency service dispatchers identify heart-attacks in real-time emergency calls with 95% accuracy, compared to 73% for human dispatchers, with real-time speech analysis and machine learning
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Case Study
Intel
Intel proposes an automated and proactive healthcare platform to analyse data from wearable devices
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Case Study
European Emergency Number Association (EENA)
The European Emergency Number Association (EENA) to pilot heart attack detection service with the use of neural networks
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Case Study
BlueDot
BlueDot identified Wuhan pneumonia outbreak from social media posts before WHO made public announcement on COVID-19
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