Machine Learning in Healthcare
Accelerate insights to improve outcomes and make data-driven decisions, while complying with the healthcare industry regulatory requirements.
BUILD AI AND ML POWERED SOLUTIONS FASTER | Pre-trained machine learning models available in AWS Marketplace.
Predictive analytics, vision & text processing
End-to-end patient care requires getting relevant information at the health providers' fingertips. This includes health history, disease propensity, medical images, and lab results to help them improve the accuracy of diagnosis, such as cancers. Machine learning solutions help uncover lifesaving insights, identify trends and make predictions, improve clinical and operational efficiency, and achieve better outcomes.
With AWS machine learning, healthcare companies are powering a new level of clinical excellence, driving better medical results across the entire patient lifecycle.
Solutions
The following solutions from AWS Marketplace sellers focus on Amazon Sagemaker for model delivery.
Persistent's Prediction of Patient Readmission Rate model predicts when a discharged patient will be admitted again within a specified time interval.
Benefits
Build ML applications faster
Reduce time for data prep
Simple feature engineering
“InterSystems will help us connect the dots on every patient record, delivering the information California payers and providers need as they move toward value-based care"
—David Kates, Chief Technology Officer, Manifest MedEx
Resources
Learn about the latest practices on how to analyze data to obtain deeper insights with resources from AWS Marketplace.
Get started with AWS Marketplace
AWS Marketplace is a curated digital catalog that makes it easy to find, test, buy, and deploy the third-party software you want, with the simplified procurement and controls you need.
