1
James Kraemer Ph.D.
Robert L Angell, Robert R Friedlander, James R Kraemer: Synthetic events for real time patient analysis. International Business Machines Corporation, Yee & Associates P C, John R Pivnichny, March 27, 2012: US08145582 (46 worldwide citation)

Generating synthetic events based on a vast amount of data. First and second data are received. The first data is organized into a first cohort. The second data is organized into a second cohort. The first cohort and the second cohort are processed to generate a synthetic event. The synthetic event ...


2
James Kraemer Ph.D.
Robert Lee Angell, Robert R Friedlander, James R Kraemer: Synthetic Events For Real Time Patient Analysis. International Business Machines Corporation, Duke W Yee, November 27, 2008: US20080294692-A1

Generating synthetic events based on a vast amount of data. First and second data are received. The first data is organized into a first cohort. The second data is organized into a second cohort. The first cohort and the second cohort are processed to generate a synthetic event. The synthetic event ...


3
SYNTHETIC COGNITIVE STATES BASED ON SYNTHETIC EVENTS FROM MEASURED DATA. March 23, 2017: US20170083816-A1

Generating synthetic emotional cognitive states based on generating synthetic events. The synthetic event is based on accessing a first set of data measurements from physical sensors related to a user. The data measurements are processed to generate one or more synthetic events. Each of the syntheti ...


4
PROBABILISTIC INFERENCE ENGINE BASED ON SYNTHETIC EVENTS FROM MEASURED DATA. March 30, 2017: US20170091639-A1

Automatically create abstractions of large sets of data and then probabilistic inferences based on the abstractions. The probabilistic inference is derived from the logical hierarchy using Bayesian statistics to infer a probabilistic event based upon a characteristic of the data in a hierarchy of sy ...