Machine learning techniques for predictive periodontitis assessment using measurement data captured by a personal oral health care device

A device for carrying out the a method for predictive periodontitis assessment, comprising the steps of:

• predicting, using a second machine-learning-model, a health status of the user regarding formation of periodontitis based at least in part on the predicted health status of the user regarding formation of gingivitis,
• wherein the device is at least one selected from the group consisting of:
• a personal oral health care device, a data processing device for a personal oral health care device, a controller for a data processing device for a personal oral health care device, and a computer.

(canceled)

(canceled)

A machine learning model structure for predictive periodontitis assessment, comprising a first machine-learning model and a second machine-learning model,

• wherein the first machine-learning model is adapted to predict a health status of a user regarding formation of gingivitis based at least in part on measurement data captured by a personal oral health care device used by the user;
• and
• wherein the second machine-learning-model is adapted to predict a health status of the user regarding formation of periodontitis based at least in part on a predicted health status of the user regarding formation of gingivitis obtained using the first machine-learning model.

(canceled)

A processing system for predictive periodontitis assessment, wherein the processing system is configured to:

• predict, using a first machine-learning model, a health status of a user regarding formation of gingivitis based at least in part on measurement data captured by a personal oral health care device used by the user;
• and
• predict, using a second machine-learning-model, a health status of the user regarding formation of periodontitis based at least in part on the predicted health status of the user regarding formation of gingivitis.