EnviroInsite
EQuIS™ EnviroInsite is environmental data visualization software for hydrogeologists, environmental scientists, and engineers. Create and display site maps using images and/or vector file formats. Visualize two-dimensional (2D) and three-dimensional (3D) environmental data. Generate customized boring logs and strip logs. Analyze stratigraphy in cross-sections and/or complex 2D or 3D geologic models. Evaluate geochemistry. Conduct statistical analyses; and prepare customized report graphics that can be exported as PDF, CAD, or GIS files. EnviroInsite connects to EQuIS databases to directly access data, eliminating the need to transfer or restructure data. Esri’s ArcGIS Online Map service or Microsoft’s Bing Maps service may be accessed to provide basemap images (aerial photos and road map images). EnviroInsite can also serve as a Web Mapping Service (WMS) client, so users can automatically obtain aerial images and other mapped data from many public WMS servers.
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Ensemble Dark Matter
Train accurate ML models on limited, sparse, and high-dimensional data without extensive feature engineering by creating statistically optimized representations of your data. By learning how to extract and represent complex relationships in your existing data, Dark Matter improves model performance and speeds up training without extensive feature engineering or resource-intensive deep learning, enabling data scientists to spend less time on data and more time-solving hard problems. Dark Matter significantly improved model precision and f1 scores in predicting customer conversion in the online retail space. Model performance metrics improved across the board when trained on an optimized embedding learned from a sparse, high-dimensional data set. Training XGBoost on a better representation of the data improved predictions of customer churn in the banking industry. Enhance your pipeline, no matter your model or domain.
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Orange
Open source machine learning and data visualization. Build data analysis workflows visually, with a large, diverse toolbox. Perform simple data analysis with clever data visualization. Explore statistical distributions, box plots and scatter plots, or dive deeper with decision trees, hierarchical clustering, heatmaps, MDS and linear projections. Even your multidimensional data can become sensible in 2D, especially with clever attribute ranking and selections. Interactive data exploration for rapid qualitative analysis with clean visualizations. Graphic user interface allows you to focus on exploratory data analysis instead of coding, while clever defaults make fast prototyping of a data analysis workflow extremely easy. Place widgets on the canvas, connect them, load your datasets and harvest the insight! When teaching data mining, we like to illustrate rather than only explain. And Orange is great at that.
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Interpreta Clinical Action
Interpreta’s Clinical Action is the single platform for in-year quality and risk intervention with NCQA certification in HEDIS and California IHA AMP since 2015. Clinical Action uses HEDIS, state-specific, and HCC formulations to provide a large library of quality and risk measures available in a cloud-based platform for direct user access or through easy integration with provider group and health plan ecosystems. Clinical Action automates workflows for structured medical, lab, and pharmacy claims data and provides a robust unstructured supplemental data environment for code capture and integration with artificial intelligence and machine learning (natural language processing) solutions. Clinical Action’s customizable population capability allows for care gap analytics from a full population health view down to the single member for in-office physician preparation.
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