What Machine Learning can do in an Outbreak Pt 1

The World around is constantly seeking for attention,often times we never pay attention till defining moments occur.
We live in critical times now,from disease outbreaks to public Health Emergency concerns,the need for decisive actions cannot be overemphasized.
Experts need to curtail this outbreaks with accurate data and speed to curb the spread and eventually get figures to drop as the health concerns die out.
Research and efficient service delivery is always prioritised as well as getting vaccines to curb the virus.
AWS Machine learning resources are there, to help you make sense of it all, starting from the data collected and keeping at pace with innovation.
AWS Service delivery pretty much covers it all,always conforming to the "Well Architected" framework delivering reliability, security, and data privacy also.
AWS machine learning has empowered healthcare providers and the stakeholders in the ecosystem to improve and accelerate, accelerating diagnosis while managing global health, enabling drug discovery, and using technology to update health infrastructure globally.
Amazon healthlake has acted as an aggregator,of diverse data collected in healthcare and making sense of it by analysis, organizing in with modern architecture and performs advanced analytics.
The actions of healthlake compound in helping with critical decisions made by health stakeholders in resource allocation and predictions made on patient health and mode of treatment.
Machine learning draws out important data to make decisions on advancing science,drug discovering and health management.

Healthlake flow of activity are as follows:

1. Import 2.Store 3.Transform 4.Query and Search 5.Analyze

For more information visit https://pages.awscloud.com/HealthContactSales.html?languages=english