Abstract: Methods, systems, and techniques for facilitating cognitive assessment are provided. Example embodiments provide a Cognitive Assessment Facilitator System CAFS, which facilitates the gathering and prediction of cognitive assessment of individuals using machine learning and sensors placed in the home of a resident. These predictive assessments can then be used by a clinician to further diagnose and/or provide health intervention. In one embodiment, the CAFS comprises a sensor input module, a machine learning engine (or algorithm as part of another component), a CAAB tool, and activity curve change engine (activity tools), and a reporting module 308. These components cooperate to process and transform smart home based sensor data into activity performance features and statistical activity features which are then processing through a machine learning engine to predict clinical cognitive assessment values.

Abstract: In an aspect of the invention, a computer-implemented method includes: receiving, by a computing device via computer network, a plurality of session data records indicating computer network browsing activity between a plurality of client devices and a merchant server hosting an online store; aggregating, by the computing device, a subset of the plurality of session data records for a single product, of a plurality of products, identified in the session data records and offered for purchase by the online store; extracting, by the computing device, features from the aggregated subset of session data records relating to customer demand for a the single product; modeling, by the computing device, customer demand for the single product based on the extracted features; optimizing, by the computing device, a price for the single product based on results of the modeling; and publishing, by the computing device, the optimized price.

Abstract: In an aspect of the invention, a computer-implemented method includes: receiving, by a computing device via computer network, a plurality of session data records indicating computer network browsing activity between a plurality of client devices and a merchant server hosting an online store; aggregating, by the computing device, a subset of the plurality of session data records for a single product, of a plurality of products, identified in the session data records and offered for purchase by the online store; extracting, by the computing device, features from the aggregated subset of session data records relating to customer demand for a the single product; modeling, by the computing device, customer demand for the single product based on the extracted features; optimizing, by the computing device, a price for the single product based on results of the modeling; and publishing, by the computing device, the optimized price.

Abstract: Methods, systems, and techniques for facilitating cognitive assessment are provided. Example embodiments provide a Cognitive Assessment Facilitator System CAFS, which facilitates the gathering and prediction of cognitive assessment of individuals using machine learning and sensors placed in the home of a resident. These predictive assessments can then be used by a clinician to further diagnose and/or provide health intervention. In one embodiment, the CAFS comprises a sensor input module, a machine learning engine (or algorithm as part of another component), a CAAB tool, and activity curve change engine (activity tools), and a reporting module 308. These components cooperate to process and transform smart home based sensor data into activity performance features and statistical activity features which are then processing through a machine learning engine to predict clinical cognitive assessment values.