Abstract: Systems and methods are disclosed for question generation to obtain more related medical information based on observed symptoms from a patient. In embodiments, possible diseases associated with the observed symptoms are generated by querying a knowledge graph. In embodiments, candidate symptoms associated with the possible diseases are also identified and are combined with the observed symptoms to obtain combined symptom sets. In embodiments, discriminative scores for the candidate symptom sets are determined and candidate symptoms with top discriminative scores are selected. In embodiments, these selected candidate symptoms may be checked for conflicts with observed symptoms and removed from further consideration if a conflict exists. In embodiments, one or more questions may be generated based on the remaining selected candidate systems to aid in collecting information about the patient. In embodiments, the process may be repeated with the updated observed symptoms.

Abstract: Disclosed herein are systems and methods for contactless sleep monitoring. The contactless sleep monitoring system collects patient data from a plurality of sensors, including thermal, radar, and audio sensors. The data is then processed using various signal processing techniques. Machine learning algorithms then convert the thermal data, audio data, and radar data into latent representations, preserving the features of each type of data but enabling them to be combined together for analysis. Finally, the system fuses the representations and then predicts sleep states by performing machine learning analysis on the fused data. Sleep states include sleep stages and sleep conditions.

Abstract: An online system receives information describing a collection of objects associated with a third-party system and an objective associated with each object. Upon receiving a request to present content associated with the third-party system to a user of the online system, the online system determines one or more groups in which each object is included based on a condition satisfied by objects included in each group. For each of multiple formats that may be used to present each group of objects, the online system computes a format score indicating a predicted likelihood that the user will perform a set of actions corresponding to a set of objectives associated with the group if the format is used. The online system selects a format for presenting each group of objects based on the format scores and/or a set of format selection rules and generates the user interface using the selected format(s).

Abstract: A computer-implemented method for determining a heart rate and respiratory rate from a radio frequency signal comprises inputting a radio frequency signal obtained from a test subject into a neural network. The method further comprises training the neural network using the radio frequency signal and extracting a heart rate and a respiratory rate from the radio frequency signal using the neural network. Further, the method comprises comparing the heart rate and the respiratory rate extracted from the radio frequency signal to a verifiable heart rate and verifiable respiratory rate for the test subject to compute an error measure. Finally, the method comprises using the error measure to apply back propagation to adjust front end parameters for one or more layers of the neural networks to improve a prediction accuracy of the neural network.

Abstract: Embodiments of remote health monitoring systems and methods are disclosed. In one embodiment, a plurality of sensors is configured for contact-free monitoring of at least one bodily function. A signal processing module communicatively coupled with the plurality of sensors is configured to receive data from the plurality of sensors. A first sensor is configured to generate a first set of data associated with a first bodily function. A second sensor is configured to generate a second set of data associated with a second bodily function. A third sensor is configured to generate a third set of data associated with a third bodily function. The signal processing module is configured to receive and process the first set of data, the second set of data, and the third set of data. The signal processing module is configured to generate at least one diagnosis of a health condition responsive to the processing.

Abstract: Briefly, embodiments of methods and/or systems for performing content recommendation are disclosed. For one embodiment, as an example, estimating relevance may include computing an inner product of latent factors corresponding to a plurality of users and features of one or more content items.

Abstract: Systems and methods are disclosed provide improved automated extraction of medical-related information. In embodiments, finer-grained medical-related data, such as medical entities, including symptoms, diseases, dimensions, and temporal information, can be extracted. In embodiments, by extracted finer level medical-related information from an input statement and generating visual displays of that information, a medical professional can readily see relevant medical information that provides medical entities and associated dimension information, as well as evolving history.

Abstract: Systems and methods are disclosed for question generation to obtain more related medical information based on observed symptoms from a patient. In embodiments, possible diseases associated with the observed symptoms are generated by querying a knowledge graph. In embodiments, candidate symptoms associated with the possible diseases are also identified and are combined with the observed symptoms to obtain combined symptom sets. In embodiments, discriminative scores for the candidate symptom sets are determined and candidate symptoms with top discriminative scores are selected. In embodiments, these selected candidate symptoms may be checked for conflicts with observed symptoms and removed from further consideration if a conflict exists. In embodiments, one or more questions may be generated based on the remaining selected candidate systems to aid in collecting information about the patient. In embodiments, the process may be repeated with the updated observed symptoms.

Abstract: Briefly, embodiments of methods and/or systems for performing content recommendation are disclosed. For one embodiment, as an example, estimating relevance may include computing an inner product of latent factors corresponding to a plurality of users and features of one or more content items.