SUMMARIZATION OF CLINICAL DOCUMENTS WITH END POINTS THEREOF

Patent №

US 11,636,933

Granted

2023-04-25

Filed 2019

Owner

KONINKLIJKE PHILIPS N.V.

Lab

AI components

6

ml · nlp · vision · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16500825

A system (100) includes an end point prediction engine (150) that predicts an end point (302) using a machine learning model (132) and one or more clinical report objects (152) for a patient, wherein the machine learning model inputs the one or more clinical report objects and outputs the predicted end point according to phrases or n-grams in the one or more clinical report objects. An end point visualization interface (160) visualizes the predicted end point (302) using a scorecard (162) or a timeline (164). An end point modeling engine (130) generates the machine learning model from training data that includes validated end points (122) and clinical report objects (116).

Machine learningNatural languageVisionKnowledge representationPlanningAI hardwareG16H 10/60G06F 18/217G06F 40/205G06N 20/00G16H 15/00G16H 50/30G16H 50/70

AI classification

Machine learning1.00
Natural language1.00
Planning1.00
Knowledge representation1.00
Vision0.84
AI hardware0.80
Speech0.00
Evolutionary computation0.00

Ownership

KONINKLIJKE PHILIPS N.V.

assignment · 506230104

Assignors

DALAL, SANDEEP MADHUKAR, TAHMASEBI MARAGHOOSH, AMIR MOHAMMAD, SEVENSTER, MERLIJN

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

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