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Disease state prediction

A technology of disease states and test data sets, applied in the direction of diagnostic recording/measurement, probabilistic network, application, etc., can solve problems such as patient troubles

Pending Publication Date: 2022-05-06
F HOFFMANN LA ROCHE & CO AG
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Currently, the staging of such diseases requires a lot of effort and is a hassle for patients who need to visit a medical specialist in a hospital or doctor's office

Method used

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Examples

Experimental program
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Embodiment Construction

[0158] figure 1 A machine learning system 110 for determining at least one analytical model for predicting at least one target variable indicative of a disease state is highly schematically shown.

[0159] The analytical model may be a mathematical model configured to predict at least one target variable for at least one state variable. The analysis model can be a regression model or a classification model. The regression model may be an analytical model comprising at least one supervised learning algorithm having a range of values ​​as output. The classification model may be an analytical model comprising at least one supervised learning algorithm having as output a classifier such as "ill" or "healthy".

[0160] The target variable value to be predicted may depend on the presence or status of the disease to be predicted. The target variable can be a numerical variable or a categorical variable. For example, the variable of interest can be a categorical variable, which ca...

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Abstract

The invention proposes a machine learning system (110) for determining at least one analytical model for predicting at least one target variable indicative of a disease state. The machine learning system (110) comprises:-at least one communication interface (114) configured for receiving input data, where the input data comprises a set of historical digital biomarker feature data, wherein the set of historical digital biomarker feature data comprises a plurality of measured values indicative of the disease state to be predicted; -at least one model unit (116), said at least one model unit comprising at least one machine learning model, said at least one machine learning model comprising at least one algorithm; -at least one processing unit (112), where the processing unit (112) is configured for determining at least one training data set and at least one test data set from an input data set, where the processing unit (112) is configured for determining the analysis model by training the machine learning model with the training data set, wherein the processing unit (112) is configured to predict a target variable for the test data set using the determined analysis model, and wherein the processing unit (112) is configured to determine a performance of the determined analysis model based on the predicted target variable and a truth value of the target variable of the test data set.

Description

technical field [0001] The invention relates to the field of digital assessment of diseases. In particular, the present invention relates to a machine learning system for determining at least one analytical model for predicting at least one target variable indicative of a disease state, and for determining at least one analytical model for predicting at least one target variable indicative of a disease state computer-implemented method. Furthermore, the present invention relates to a computer program and a computer readable storage medium. These devices and methods can be used to determine analytical models for predicting the Expanded Disability Status Scale (EDSS) indicative of multiple sclerosis, forced vital capacity indicative of spinal muscular atrophy, or total motor score (TMS) indicative of Huntington's disease. Background technique [0002] Diseases, especially neurological disorders, require an enhanced diagnostic approach to disease management. After disease on...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00
CPCA61B5/4082A61B5/7267G16H50/20A61B5/4088A61B5/7275G16H50/70G06N20/20G06N20/10G06N7/01
Inventor C·戈森斯F·利普斯梅尔C·A·M·V·G·西米利恩M·林德曼
Owner F HOFFMANN LA ROCHE & CO AG
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