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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Predicting Cost Bloomers / Rising Risk

By: ClosedLoop.ai Latest Version: 1.0

Product Overview

ClosedLoop's end to end machine learning platform allows users to go from raw, messy EHR, claims, labs, SDoH, device, and other patient linkable data streams to production deployed predictive models in just 24 hours. The predicted outcome is the probability that person’s healthcare costs in the next 12 months are 50% higher than this year’s costs, and that they exceed $10,000 in total. The algorithms were based on diagnosis and procedure data from medical claims and trained on a population of people at least 12 months of medical claims cost history.

Key Data

Version
By ClosedLoop.ai
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Fulfillment Methods

Amazon SageMaker

Support Information

Predicting Cost Bloomers / Rising Risk

support@closedloop.ai

https://github.com/closedloop-ai

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