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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.

Missing Charges

By: ElectrifAi LLC Latest Version: 1.0.0

Product Overview

Identifies missing charges in a claim. The model will take all the charges on the medical claim and predict the probability that certain codes are missing. By using the input data of medical claims from an insurance company (i.e. common medical codes HCPCS, CPT, ICD10, REV, LOC), a score of every possible charge code is generated. High scores mean the charge should be on the claim. To preview our machine learning models, please Continue to Subscribe. To preview our sample Output Data, you will be prompted to add suggested Input Data. Sample Data is representative of the Output Data but does not actually consider the Input Data. Our machine learning models return actual Output Data and are available through a private offer. Please contact info@electrifai.net for subscription service pricing. SKU: MISCH-PS-HCY-AWS-001

Key Data

Version
By ElectrifAi LLC
Categories
Type Model Package
Fulfillment Methods Amazon SageMaker

Usage Information

Support Information

AWS Infrastructure

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Refund Policy

This product is offered for free. If there are any questions, please contact us for further clarifications.

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