TECHNOLOGIES FOR INFERRING A PATIENT CONDITION USING MACHINE LEARNING

A machine learning compute device may include circuitry configured to obtain sensor data from a product associated with a patient. The circuitry may also be configured to obtain response variable data indicative of an actual condition of the patient associated with the sensor data. Additionally, the...

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Bibliographic Details
Main Authors Bhai, Aziz A, Receveur, Timothy J, Fu, Yongji
Format Patent
LanguageEnglish
Published 01.07.2021
Subjects
CALCULATING
CHAIRS FOR DENTISTRY
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DIAGNOSIS
FUNERAL DEVICES
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
MEDICAL OR VETERINARY SCIENCE
OPERATING TABLES OR CHAIRS
PHYSICS
SURGERY
TRANSPORT OR ACCOMODATION FOR PATIENTS
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Summary:A machine learning compute device may include circuitry configured to obtain sensor data from a product associated with a patient. The circuitry may also be configured to obtain response variable data indicative of an actual condition of the patient associated with the sensor data. Additionally, the circuitry may be configured to train, based on the response variable data and the sensor data, an inference model to infer the actual condition of the patient from the sensor data.
Bibliography:Application Number: US202017110600