METHOD OF CONTINUOUS PREDICTION OF PATIENT SEVERITY OF ILLNESS, MORTALITY, AND LENGTH OF STAY

Patent №

US 9,569,723

Granted

2017-02-14

Filed 2013

Owner

KONINKLIJKE PHILIPS ELECTRONICS N.V.

Lab

AI components

4

ml · kr · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13883766

A method for predicting a patient's outcome variable, such as a probability of mortality/recovery, includes accessing at least one of a plurality past patients' data fields including physiological and/or laboratory data, and a time of stay indicating how long each patient had been under care at the time. An outcome variable estimation algorithm is generated by data mining from a plurality of past patients' physiological and/or laboratory data, corresponding time of stay, and associated outcome variables. A current patient's outcome variable is determined from the current patient's physiological and/or laboratory data, the current time of stay, and the outcome variable estimation algorithm.

Machine learningKnowledge representationPlanningEvolutionary computationG16H 50/20G06N 5/01G16H 10/20G16H 50/50G16Z 99/00G01N 2800/52G16H 10/60G16H 50/30+1 more

AI classification

Knowledge representation0.97
Planning0.87
Evolutionary computation0.84
Machine learning0.78
AI hardware0.01
Natural language0.00
Vision0.00
Speech0.00

Ownership

KONINKLIJKE PHILIPS ELECTRONICS N.V.

assignment · 303600079

Assignors

SAEED, MOHAMMED

On an employer assignment, the assignors are typically the inventors.

From the same owner

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