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Healthcare & Life Sciences (552 results) showing 431 - 440



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


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


This post-pandemic Propensity Model determines the probability that a US adult uses Marijuana Regularly. Lift over Random 1.69. 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


TrustVideo is a standalone, customizable, private labeled telehealth solution that is expanding access to care and bridging the gaps for organizations and patients. Healthcare systems can serve any use case with one virtual care platform that complements current workflows and EMR systems. The...


Predict the likelihood of users to file a long-term disability claim in a group insurance plan. The model extracts and integrates relevant information from complicated insurance data. Use of the model delivered highly predictive results and very closed traced the actual incidents. The data includes...

Model Package - Fulfilled on Amazon SageMaker


Founda empowers medium and large technology providers, healthcare providers and digital health solutions to provide clinical process automation. The solution improves organizational efficiency thereby driving growth and financial profitability. Built on reusable fundamentals, the platform offers...