Free Trial
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
Reduce the manual effort to clean and group company names by identifying which companies are subsidiaries of other companies. Technical highlights include applying Convolutional Neural Networks (CNN), fuzzy matching techniques, and key collision. Using the data input of procurement transaction...
Model Package - Fulfilled on Amazon SageMaker
This solution can ingest insurance policy data from different sources such as external agencies, brokers, or partners having various schemas/ headers and standardizes them to a fixed output format. This can help business reduce the effort in converting these different files to a format suitable for...
Model Package - Fulfilled on Amazon SageMaker
Free Trial
The Clinical De-Identification model is designed to recognize and anonymize PHI in English-language clinical notes. It employs state-of-the-art natural language processing techniques to detect sensitive information such as patient names, addresses, medical record numbers, and other identifiers....
Model Package - Fulfilled on Amazon SageMaker
Free Trial
Jump start your ability to understand how much and the type of work being done in your operation. Stationary work refers to employees who are folding, dusting, scanning items at check-out vs. the still sitting or standing.
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/resnet_v1_50/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of...
Model Package - Fulfilled on Amazon SageMaker
Businesses succeed when existing customers enhance their accounts through rate plan and device upgrades, feature addons, and line additions to grow account size. The Change a Rate Plan model is part of ElectrifAi's propensity model suite which enhances a business's predictive accuracy in targeting...
Model Package - Fulfilled on Amazon SageMaker
Cleanlab builds AI solutions to assess data quality in messy real-world applications. Mislabeled data is common in classification, but we invented Confident Learning algorithms that automatically detect label errors in your dataset. Label Inspector runs these algorithms to estimate which examples...
Algorithm - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult Gambles on Sports Occasionally. Lift over Random 1.88. 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...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult is Overweight. Lift over Random 3.00. 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 Behaviors &...
Model Package - Fulfilled on Amazon SageMaker
showing 731 - 740