Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for collecting user interaction data of a plurality of users for each of a first plurality of document-text pairs, wherein the user interaction data is collected for the document-text pair from a respective service for which the respective text of the document-text pair was selected. A respective weight is calculated for each of the first plurality of document-text pairs based on, at least, the collected user interaction data for the document-text pair. One or more topics are associated with one or more of the sources based on, at least, the respective weights associated with a plurality of first document-text pairs that are associated with the source.
Abstract:
A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.
Abstract:
Systems and methods for finding multiple shortest paths. A directed graph representing web resources and links are divided into shards, each shard comprising a portion of the graph representing multiple web resources. Each of the shards is assigned to a server, and a distance table is calculated in parallel for each of the web resources in each shard using a nearest seed computation in the server to which the shard was assigned.
Abstract:
A system for predicting and summarizing medical events from electronic health records includes a computer memory storing aggregated electronic health records from a multitude of patients of diverse age, health conditions, and demographics including medications, laboratory values, diagnoses, vital signs, and medical notes. The aggregated electronic health records are converted into a single standardized data structure format and ordered arrangement per patient, e.g., into a chronological order. A computer (or computer system) executes one or more deep learning models trained on the aggregated health records to predict one or more future clinical events and summarize pertinent past medical events related to the predicted events on an input electronic health record of a patient having the standardized data structure format and ordered into a chronological order. An electronic device configured with a healthcare provider-facing interface displays the predicted one or more future clinical events and the pertinent past medical events of the patient.
Abstract:
Systems and methods for sending asynchronous messages include receiving, using at least one processor, at a node in a distributed graph, a message with a first value and determining, at the node, that the first value replaces a current value for the node. In response to determining that the first value replaces the current value, the method also includes setting a status of the node to active and sending messages including the first value to neighboring nodes. The method may also include receiving the messages to the neighboring nodes at a priority queue. The priority queue propagates messages in an intelligently asynchronous manner, and the priority queue propagates the messages to the neighboring nodes, the status of the node is set to inactive. The first value may be a cluster identifier or a shortest path identifier.
Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for collecting user interaction data of a plurality of users for each of a first plurality of document-text pairs, wherein the user interaction data is collected for the document-text pair from a respective service for which the respective text of the document-text pair was selected. A respective weight is calculated for each of the first plurality of document-text pairs based on, at least, the collected user interaction data for the document-text pair. One or more topics are associated with one or more of the sources based on, at least, the respective weights associated with a plurality of first document-text pairs that are associated with the source.
Abstract:
Systems and methods for sending asynchronous messages include receiving, using at least one processor, at a node in a distributed graph, a message with a first value and determining, at the node, that the first value replaces a current value for the node. In response to determining that the first value replaces the current value, the method also includes setting a status of the node to active and sending messages including the first value to neighboring nodes. The method may also include receiving the messages to the neighboring nodes at a priority queue. The priority queue propagates messages in an intelligently asynchronous manner, and the priority queue propagates the messages to the neighboring nodes, the status of the node is set to inactive. The first value may be a cluster identifier or a shortest path identifier.
Abstract:
One aspect of the disclosure can be embodied in a method that includes obtaining a first document from a corpus and obtaining metadata for the first document. The method also includes obtaining existing change rates for second documents selected based on the metadata, and calculating an estimated change rate for the first document based on the change rates for the second documents.