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Motion is the number one cause for injuries in the workplace as well as the structural driver for athletic activities. Modjoul Motion model identifies 4 major activities and corresponding metrics. This model detects not only walking but also bends, twists and stationary activity. It accepts input...

Model Package - Fulfilled on Amazon SageMaker


The decision forest regression algorithm is based on an ensemble of tree-structured classifiers (decision trees) built using the general technique of bootstrap aggregation (bagging) and random choice of features. Decision tree is a binary tree graph. Its internal (split) nodes represent a decision...

Algorithm - 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

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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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  • Sold by vLife

Chronic kidney disease (CKD) is a slow and progressive loss of kidney function over a period leading to permanent kidney failure. Type 2 Diabetes is a pre-cursor for CKD. In this POC, the model identifies the subjects susceptible to CKD within 3 years of onset of Type II diabetes. The model is...

Model Package - Fulfilled on Amazon SageMaker

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Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer is a Macy's Clothing Shopper. Based on a set of basic demographics, the model identifies individuals likely to be a Macy's Clothing Shopper. The model was trained with data from Prosper's large...

Model Package - Fulfilled on Amazon SageMaker


ClosedLoop's end to end machine learning platform allows our data scientists or your own internal data science team 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...

Model Package - Fulfilled on Amazon SageMaker


ClosedLoop's end to end machine learning platform 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 of an all-cause hospital admission within 6...

Model Package - Fulfilled on Amazon SageMaker


Life event detection is a machine learning based psychological data analysis solution which currently works on social media data. It can detect total 23 categories as life events, such as : 'relationship', 'exam', 'marriage', 'death', 'awards', 'birthday', 'sick', 'courtCase', 'event' etc. This...

Model Package - Fulfilled on Amazon SageMaker


Cortexica's home interiors localisation model can be used to detect items of home furnishing from any input image. The results include bounding box coordinates, along with category information. The output can be in Json format, or as a an image with bounding boxes overlaid on the original image for...

Model Package - Fulfilled on Amazon SageMaker