Machine Learning for Healthcare
Accelerate insights to improve outcomes and make data-driven decisions, while complying with the healthcare industry regulatory requirements.
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 for healthcare solution help uncover lifesaving insights, identify trends and make predictions, improve clinical and operational efficiency, and achieve better outcomes.
Power a new era of clinical excellence
With AWS machine learning, healthcare companies are powering a new level of clinical excellence, driving better medical results across the entire patient lifecycle.
Machine learning healthcare solutions
The following solutions from AWS Marketplace sellers focus on Amazon Sagemaker for model delivery.
Electrifai
ElectrifAi's Missing Charges models can predict the probability certain medical codes are missing from the charges listed on the provider's medical claim.
Persistent Systems
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
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
