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
Free Trial
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
ClearDATA Inheritance participants can quickly determine which controls are inheritable, validate the applicability of each requirement to their scoped assessment, and submit the requests through the HITRUST MyCSF platform. The HITRUST CSF is a comprehensive, flexible, and certifiable security...
This post-pandemic Propensity Model determines the probability that a US adult is an Auto DIYer if they regularly work on their car. Lift over Random 3.15. 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...
Model Package - Fulfilled on Amazon SageMaker
Bimodal approach complements best-in- class/ EPR-centric strategies. Maximises existing systems’ investment, enables replacement of legacy systems. Frees clinical time- provides single access point to information. Reduces training through intuitive, patient- centric design for easy...
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
showing 421 - 430