Abstract: Device configuration based on predicting a health affliction. A process acquires measurements of conditions that a user is experiencing. The process predicts, based on the measurements, whether the user will experience a particular health affliction. Based on predicting that the user will experience the particular health affliction, the process configures devices of an environment in which the user is present to reduce effects of the devices on symptoms of the particular health affliction. The configuring includes adjusting a respective at least one state of each device of the devices.

Abstract: Device configuration based on predicting a health affliction. A process acquires measurements of conditions that a user is experiencing. The process predicts, based on the measurements, whether the user will experience a particular health affliction. Based on predicting that the user will experience the particular health affliction, the process configures devices of an environment in which the user is present to reduce effects of the devices on symptoms of the particular health affliction. The configuring includes adjusting a respective at least one state of each device of the devices.

Abstract: A computer-implemented method for automated psychometric scoring which includes: collecting applicant data pertaining to an application from an applicant, the data including the applicant's name, age and demographic information; collecting textual information posted by the applicant from social media; automatically obtaining a personality profile of the applicant computed from the textual information; building a consolidated applicant profile by joining the personality profile and the applicant data; inputting the consolidated applicant profile into a machine learning model to compute an approval score with respect to approving or not approving the application; and outputting the approval score from the machine learning model.