Abstract: Method and apparatus are disclosed for automated resume and job posting creation with limited user-generated information. An example automated system includes a database and processor(s). The processor(s) are configured to obtain employment information for previous positions of a candidate via an employment app. For each of the previous positions, the processor(s) are configured to present a position interface; collect an employer name, a position title, a location, and a period of employment via the position interface; present a responsibilities interface that includes suggested responsibilities for the previous position; and collect, via the responsibilities interface, one or more selected responsibilities. The processor(s) are configured to retrieve, for each of the previous positions, the suggested responsibilities from the database based on the employer name, the position title, the location, and the period of employment.

Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.

Abstract: A device that may include, or communicate with, sensors such as an electrocardiogram (ECG) sensor, an accelerometer, and/or a photoplethysmograph (PPG) detects sleep-disordered breathing (SDB) events of a patient based on signals from the sensors. The device may have a processor configured to make the detection(s). In an example, the processor may access a memory with processor control instructions. The instructions may be adapted to configure the processor to carry out the detection methodology. The method may include analysing an ECG data of the patient from a signal generated by the ECG sensor, pulse oximetry data of the patient from a signal generated by the PPG, and a three-dimensional (3D) accelerometry data of the patient from a signal generated by the accelerometer to detect the SDB events. The device and methods may be used for screening, diagnosis and monitoring of respiratory disorders.

Abstract: Method and apparatus are disclosed for estimating job and career transition capabilities of candidates in a database. An example system for processing a search query indicative of a candidate to hire includes a database including records of a plurality of profiles, a network connector to provide access to the database via an application programming interface, and a computing device. The computing device periodically generates a first score representing a likelihood that a person associated with the respective profile will respond to a communication regarding a job in a particular category. The computing device also, in response to receiving a search query (a) generates a second score representing a probabilistic measurement of a likelihood that the person associated with the retrieved profile will change jobs, (b) generates a third score representative of a percentile level of activity associated with searching for a new job.

Abstract: A method and apparatus monitors chronic disease state of a patient. The method may include extracting, in a processor, for each of a plurality of monitoring sessions, a respiratory feature from a respiratory signal indicative of the patient's respiration during the monitoring session, the respiratory signal derived from at least one sensor; and computing, in a processor, a stability measure of the patient for a monitoring session, the stability measure representing an indication of a change point having occurred at the monitoring session in a statistical distribution of the respiratory feature.

Abstract: Disclosed is a cardio-pulmonary health monitoring apparatus. The apparatus comprises a contactless motion sensor configured to generate one or more movement signals representing bodily movement of a patient during a monitoring session; a processor; and a memory storing program instructions configured to cause the processor to carry out a method of processing the one or more movement signals. The method comprises extracting one or more sleep disordered breathing features from the one or more movement signals, and predicting whether a clinical event is likely to occur during a predetermined prediction horizon based on the one or more sleep disordered breathing features.