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1. WO2019215263 - SYSTEM AND METHOD FOR PROVIDING MODEL-BASED PREDICTIONS OF QUALITY OF LIFE IMPLICATIONS OF A TREATMENT VIA INDIVIDUAL-SPECIFIC MACHINE LEARNING MODELS

Publication Number WO/2019/215263
Publication Date 14.11.2019
International Application No. PCT/EP2019/061876
International Filing Date 08.05.2019
IPC
G16H 10/60 2018.1
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
10ICT specially adapted for the handling or processing of patient-related medical or healthcare data
60for patient-specific data, e.g. for electronic patient records
G16H 50/70 2018.1
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
70for mining of medical data, e.g. analysing previous cases of other patients
G16H 50/20 2018.1
GPHYSICS
16INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
50ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
20for computer-aided diagnosis, e.g. based on medical expert systems
CPC
A61B 5/1118
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
103Detecting, measuring or recording devices for testing the shape, pattern, ; colour,; size or movement of the body or parts thereof, for diagnostic purposes
11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
1118Determining activity level
A61B 5/14546
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
14546for measuring analytes not otherwise provided for, e.g. ions, cytochromes
A61B 5/1486
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
145Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
1486using enzyme electrodes, e.g. with immobilised oxidase
A61B 5/165
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
16Devices for psychotechnics
165Evaluating the state of mind, e.g. depression, anxiety
A61B 5/6801
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
6801specially adapted to be attached to or worn on the body surface
A61B 5/7475
AHUMAN NECESSITIES
61MEDICAL OR VETERINARY SCIENCE; HYGIENE
BDIAGNOSIS; SURGERY; IDENTIFICATION
5Measuring for diagnostic purposes
74Details of notification to user or communication with user or patient
7475User input or interface means, e.g. keyboard, pointing device, joystick
Applicants
  • KONINKLIJKE PHILIPS N.V. [NL]/[NL]
Inventors
  • HENDRIKS, Monique
  • KUSTRA, Jacek, Lukasz
  • VOSBERGEN, Sandra
Agents
  • DE HAAN, Poul, Erik
Priority Data
62/668,34808.05.2018US
Publication Language English (en)
Filing Language English (EN)
Designated States
Title
(EN) SYSTEM AND METHOD FOR PROVIDING MODEL-BASED PREDICTIONS OF QUALITY OF LIFE IMPLICATIONS OF A TREATMENT VIA INDIVIDUAL-SPECIFIC MACHINE LEARNING MODELS
(FR) SYSTÈME ET PROCÉDÉ POUR FOURNIR DES PRÉDICTIONS BASÉES SUR UN MODÈLE D'IMPLICATIONS SUR LA QUALITÉ DE VIE D'UN TRAITEMENT PAR LE BIAIS DE MODÈLES D'APPRENTISSAGE AUTOMATIQUE SPÉCIFIQUES À UN INDIVIDU
Abstract
(EN) The present disclosure pertains to a system for providing model-based predictions of quality of life implications of a treatment via individual-specific machine learning models. In some embodiments, the system (i) obtains social media information related to an individual's social media activities, the individual awaiting prescription of a predetermined treatment; (ii) performs one or more queries to obtain health and social media information associated with similar individuals having (a) similar social media activities and (b) a record of receiving the predetermined treatment; (iii) provides the health and social media information associated with the similar individuals to a machine learning model to train the machine learning model; and (iv) provides the social media information associated with the individual to the machine learning model to predict (a) a likelihood of the one or more health states and (b) an estimated importance of each of the one or more health states for the individual.
(FR) La présente invention concerne un système pour fournir des prédictions basées sur un modèle d'implications sur la qualité de vie d'un traitement par le biais de modèles d'apprentissage automatique spécifiques à un individu. Dans certains modes de réalisation, le système (i) obtient des informations de réseaux sociaux associées à des activités de réseaux sociaux d'un individu, l'individu étant en attente de prescription d'un traitement prédéterminé ; (ii) effectue une ou plusieurs interrogations afin d'obtenir des informations de santé et de réseaux sociaux associées à des individus similaires ayant (a) des activités de réseaux sociaux similaires et (b) un historique de réception du traitement prédéterminé ; (iii) fournit les informations de santé et de réseaux sociaux associées aux individus similaires à un modèle d'apprentissage automatique pour former le modèle d'apprentissage automatique ; et (iv) fournit les informations de réseaux sociaux associées à l'individu au modèle d'apprentissage automatique afin de prédire (a) une probabilité du ou des états de santé et (b) une importance estimée de chacun desdits états de santé pour l'individu.
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