Abstract: A method includes obtaining a dataset that includes health data in a Fast Healthcare Interoperability Resources (FHIR) standard. The health data includes a plurality of healthcare events. The method includes generating, using the dataset, an events table that includes the plurality of healthcare events and is indexed by time and a unique identifier per patient encounter. The method also includes generating, using the dataset, a traits table that includes static data and is indexed by the unique identifier per patient encounter. The method includes training a machine learning model using the events table and the traits table and predicting, using the trained machine learning model and one or more additional healthcare events associated with a patient, a health outcome for the patient.

Abstract: A method of identifying a contributing cause of an anomaly including receiving a set of timeseries data representing metric values over time, wherein the timeseries data has at least two dimensions, for each of two or more of the timestamps in the set of timeseries data, generating a first and second graph representing (i) the metric values at that timestamp, (ii) the at least two dimensions at that timestamp, and (iii) associations between the metric values at that timestamp, analyzing the first and second graphs associated with each timestamp to identify a particular timestamp including an anomaly, and analyzing the first and second graphs associated with the identified particular timestamp to identify a node that contributed in causing the anomaly.

Abstract: Implementations relate to verifying labels for images using image recognition. In some implementations, a method includes obtaining an image associated with location information, obtaining one or more descriptor labels associated with the location information, determining one or more recognized image features depicted in the image, comparing the recognized image features with the descriptor labels, and determining one or more verified labels from the one or more descriptor labels. The verified labels are determined to describe at least one of the one or more recognized image features depicted in the image based on the comparing of the recognized image features with the descriptor labels.

Abstract: Methods, systems, and apparatus are provided for determining location information for images. In one aspect, a method includes obtaining landmark location data from content depicted in an image and corresponding confidence scores. Also, the method includes obtaining caption location data from user input and corresponding confidence scores, and obtaining metadata location data from data provided by an image capturing device. Further, the method includes identifying location pairs from the landmark, caption, and metadata location data, and generating, for each location pair, a geographic consistency score. Additionally, the method includes selecting a location pair based on the geographic consistency scores, and selecting an image location for the image from the selected location pair. Moreover, the method includes determining an image location score based on a confidence score for one of the locations in the selected location pair, and associating the image location and image location score with the image.

Abstract: A system for processing images, or clips, as, for example, in a movie or video post production system. The clips are associated with a flowgraph representation that visually depicts all of the operations used to generate the clips. Correspondence between the image and flowgraph representations is tightly maintained so that the user can conveniently switch between, and work among, the different representations. Efficient user interface mechanisms are provided to work with flowgraph items to construct nodes representing operations. Nodes can be joined in an automated, or assisted, manner. Flowgraphs can be automatically generated according to user inputs in other parts of the system. For example, layered effects can have flowgraphs that are automatically generated. A freehand drawing timing capture tool is provided. All operations that contribute to a single (or more) pixel's value can be listed and selectively activated or deactivated to detect a problem.

Abstract: A system for processing images, or clips, as, for example, in a movie or video post production system. The clips are associated with a flowgraph representation that visually depicts all of the operations used to generate the clips. Correspondence between the image and flowgraph representations is tightly maintained so that the user can conveniently switch between, and work among, the different representations. Efficient user interface mechanisms are provided to work with flowgraph items to construct nodes representing operations. Nodes can be joined in an automated, or assisted, manner. Flowgraphs can be automatically generated according to user inputs in other parts of the system. For example, layered effects can have flowgraphs that are automatically generated. A freehand drawing timing capture tool is provided. All operations that contribute to a single (or more) pixel's value can be listed and selectively activated or deactivated to detect a problem.