Abstract: Disclosed systems, methods, and computer readable media can diagnose a health condition based on patient time series data. For example, a method for diagnosing a health condition based on patient time series data includes identifying a training set of health records comprising a first set of patient time series data, training a neural network using the training set of health records, and executing the trained neural network model to diagnose a health condition based on a second set of patient time series data. In further examples, the first set of patient time series data and the second set of patient time series data can each comprise electrocardiogram data and the health condition can comprise pulmonary hypertension.

Abstract: Disclosed systems, methods, and computer readable media can diagnose a health condition based on patient time series data. For example, a method for diagnosing a health condition based on patient time series data includes identifying a training set of health records comprising a first set of patient time series data, training a neural network using the training set of health records, and executing the trained neural network model to diagnose a health condition based on a second set of patient time series data. In further examples, the first set of patient time series data and the second set of patient time series data can each comprise electrocardiogram data and the health condition can comprise pulmonary hypertension.

Abstract: Disclosed systems, methods, and computer readable media can diagnose a health condition based on patient time series data. For example, a method for diagnosing a health condition based on patient time series data includes identifying a training set of health records comprising a first set of patient time series data, training a neural network using the training set of health records, and executing the trained neural network model to diagnose a health condition based on a second set of patient time series data. In further examples, the first set of patient time series data and the second set of patient time series data can each comprise electrocardiogram data and the health condition can comprise pulmonary hypertension.

Abstract: Systems and methods for populating a structure database including accessing an image representation of a data table comprising one or more cells arranged in rows and columns; providing the image representation as an input to a neural network model; executing the neural network model to identify a location of the first content object in the image representation; identifying a location of the first cell based on the location of the first content object; determining that the first cell belongs to the first row and the first column based on the location of the first cell and the first content object in relation to a plurality of content objects; associating the first content object with one or more categorical identifiers; and populating a structured database with the first content object and the one or more categorical identifiers.

Abstract: The present disclosure is directed to a web services architecture comprising a component operable for rapid development of a web services application, a mobile application. The web services architecture also includes a telecommunications provider system and a service provider. The mobile application is related to the web services application deployable on a mobile device. The telecommunications provider system is operable to host the web services application and to identify the mobile device and federate information related to the mobile device. The service provider is operable to provide a mobile device service associated with the web services application. The service provider is in communication with the web services application and operable to use the federated information related to the mobile device to provide application services to the mobile device.

Abstract: A method is provided for mobile device access to back office data store. A data request is received from a mobile device, wherein the data request is associated with a really simple syndication format file link to a data file in a back office data store. The data request is conveyed through a firewall to the back office data store, wherein the firewall permits only conveying the data request. The data file is accessed in the back office data store. The data from the data file is formatted for the mobile device. The formatted data is communicated to the mobile device.

Abstract: Disclosed herein are a number of embodiments that enable BREW handsets and other devices to leverage a MSOA developed for J2ME handsets. The MSOA may be used to develop and deploy applications and services to handsets or other devices. In order to gain use of the MSOA, an actor may be developed for enabling communication with one or more servlets or one or more applications in the MSOA. Similarly, other devices, such as a set top box, may also gain the use of the MSOA through an adaptor that is capable of communication with one or more servlets or one or more applications in the MSOA. BREW handsets may also gain use of the MSOA through an actor developed in conjunction with an application as part of a servlet, midlet, actor triplet.

Abstract: The present disclosure is directed to a web services architecture comprising a component operable for rapid development of a web services application, a mobile application. The web services architecture also includes a telecommunications provider system and a service provider. The mobile application is related to the web services application deployable on a mobile device. The telecommunications provider system is operable to host the web services application and to identify the mobile device and federate information related to the mobile device. The service provider is operable to provide a mobile device service associated with the web services application. The service provider is in communication with the web services application and operable to use the federated information related to the mobile device to provide application services to the mobile device.