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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
Damstra Technology is a global leader in enterprise protection software. Our Enterprise Protection Platform has an extensive range of modules that allows organisations to mitigate and reduce unforeseen and unnecessary business risks around people, worksites, assets, financials, and reputation....
NUMEN™, the Scientific Discovery Platform is designed to empower researchers and scientists to focus on science. Focused initially on the structure based drug design, NUMEN grants scientists' access to cloud scalability, flexibility, and security, removing the burdens of IT management. It optimizes...
A large portion of the premium that Health plans earn seems to be spent on processing health claims by means of making payments and extra fees. By automating the claims adjudication process, Health plans could minimise their costs and price their services more competitively. Competitive premium...
Pharmaceutical manufacturing facilities face lengthy manual inspections and verification processes that slow down production changeovers and are prone to human error, leading to mix-ups, cross-contamination, quality and compliance risks. Pharmaceutical manufacturers must meet strict regulatory...
Traditional identity systems are cumbersome and highly vulnerable, with single points of failure, attracting continuous attempts to gain access to repositories of high value data. Now you can use advanced biometric authentication to protect and empower your customers, and your business - with one...
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 of an all-cause ED visit in the next 6...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Uses Health Apps. Lift over Random 1.27. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...
Model Package - Fulfilled on Amazon SageMaker
Effective scheduling for hospital admission is a major challenge as there is uncertainty in patient’s length of stay and large errors in estimations can lead to capacity pressures. To tackle this, Virtusa-GCTS has developed a Deep Learning based solution which will accurately predict how long a...
Model Package - Fulfilled on Amazon SageMaker
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This model serves as a transformative tool for healthcare professionals, particularly for those inundated with vast amounts of patient information daily. Trained on a diverse array of medical texts, this pipeline can distill lengthy and often complex clinical notes, encounters, critical care...
Model Package - Fulfilled on Amazon SageMaker
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