Forecasting a patient vital measurement for healthcare analytics

US10559385B2 · kind B2 · utility

Assignee

• Conduent Business Services, LLC · US

Inventors

• Abhishek Sengupta · Sherghati, IN
• Bhupendra Singh Solanki · Indore, IN
• Prathosh Aragulla Prasad · Savanuru, IN
• Vaibhav Rajan · Bengaluru, IN
• Katerina Sinclair · Tucson, US
• Stephen Fullerton · Jacksonville Beach, US
• Satya Narayan Shukla · Sidhauli, IN

Key dates

• Filing date: Apr 19, 2016
• Grant date: Feb 11, 2020
• Expiry date: Dec 10, 2038

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B5/14542
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

What is disclosed is a system and method for forecasting and imputing an unknown vital measurement of a patient. Temporally successive patient vital measurements are received which comprise irregularly sampled observations {y1, . . . , yN}, where yj denotes the jth observation at time tj, and N is the number of samples. The vital measurements are then provided to a model trained using historical data of patient vital measurements. The model generates a parameter set θ=(A,B,C), where A is a state transition matrix, B is a control matrix, and C is a matrix which maps state-space variables to observation variables. The parameters are used to obtain state-space variable zt which, in turn, is used to forecast an unknown observation yN+1 or to impute an unknown observation yt, where 1<t<N. The historical data is then updated with the forecasted observation yN+1 or the imputed unknown observation yt.