Modeling techniques for predicting mortality in intensive care units

US9959390B2 · kind B2 · utility

Assignee

• KONINIKLIJKE PHILIPS N.V. · NL

Inventors

• Srinivasan Vairavan · Ossining, US
• Larry James Eshelman · Ossining, US
• Adam Jacob Seiver · Los Altos Hills, US
• Abigail Acton Flower · Mahopac, US
• Syed Waseem Haider · Somers, US

Key dates

• Filing date: Aug 30, 2013
• Grant date: May 1, 2018
• Expiry date: Dec 16, 2034

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H50/30
• WIPO field: Medical technology
• WIPO sector: Instruments

Abstract

A medical modeling system and method predict a risk of a physiological condition, such as mortality, for a patient. Measurements of a plurality of predictive variables for the patient are received. The plurality of predictive variables are predictive of the risk of the physiological condition. The risk of the physiological condition is calculated by applying the received measurements to at least one model modeling the risk of the physiological condition using the plurality of predictive variables. The at least one model includes at least one of a hidden Markov model and a logistic regression model. An indication of the risk of the physiological condition is output to a clinician.