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Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...

Model Package - Fulfilled on Amazon SageMaker

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Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...

Model Package - Fulfilled on Amazon SageMaker


InfluxDB Enterprise is a hardened version of the open source core InfluxDB stack that includes additional features designed for production workloads. InfluxDB is a time series database designed to handle high write and query load – Dramatically reduce the cost and effort to analyze metrics and...


Patients that do not show up for their appointment without advanced warning is an issue that negatively affects medical centers across the United States because each no-show lowers access (increases wait times) and is a missed billing opportunity. This is a substantial problem because average...

Model Package - Fulfilled on Amazon SageMaker


Prosper Insights & Analytics' propensity model predicts the probability that a China adult consumer enjoys a specific leisure time activity. Based on a set of basic demographics, the model identifies individuals who are likely to participate in the activity. The model was trained with data from...

Model Package - Fulfilled on Amazon SageMaker

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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer has a specific health condition. Based on a set of basic demographics, the model identifies individuals who are likely to have the health condition. The model was trained with data from Prosper's...

Model Package - Fulfilled on Amazon SageMaker

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Image Embeddings using Singular Value Decomposition (SVD) can be used for semantic search, dimensionality reduction, and anomaly detection. Given a batch of images, singular values and vectors are computed using this algorithm.

Algorithm - Fulfilled on Amazon SageMaker


Using predictive modeling and machine learning techniques, CARE™ Disease Prediction analyzes more than 14 billion medical claims to identify early indicators of disease for local markets and disease onset across the United States. These predictions give you the information you need to plan outreach...

Model Package - Fulfilled on Amazon SageMaker


This algorithm enhances contemporary credit scoring by determining whether someone will experience financial delinquency in coming years. Can be used to know the potential risks in credit profile of a customer beforehand and eventually take adequate measures to mitigate it.

Algorithm - Fulfilled on Amazon SageMaker