UnitedHealth Group had three patents in internet of things during Q1 2024. The patent filed by UnitedHealth Group Inc in Q1 2024 focuses on signal interpretation and data aggregation techniques to generate predictive insights for a user. This involves receiving physiological features based on sensor values, generating activity encodings, aggregating features, and using a machine learning model to make physiological predictions for the user. GlobalData’s report on UnitedHealth Group gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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UnitedHealth Group grant share with internet of things as a theme is 66% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Machine learning signal processing techniques for generating physiological predicts (Patent ID: US20240090848A1)
The patent filed by UnitedHealth Group Inc. describes a computer-implemented method and system for generating predictive insights for a user based on physiological features and activity encodings. The method involves receiving initial physiological features and activity encodings, aggregating them into a combined input feature vector, using a machine learning model to generate a physiological prediction, and initiating prediction-based actions based on the prediction. The system includes processors configured to perform these steps and is trained on historical data to make accurate predictions for the user's future physiological values.
The method includes generating initial physiological features such as aggregated glucose values and variability, as well as activity encodings like event and medication usage patterns. These features are used to predict average sensor values for the user over a future time period. The system is trained on labeled datasets and continuously updated with new data to improve prediction accuracy. By combining physiological features, activity encodings, and machine learning models, the method aims to provide personalized and accurate predictions for users' physiological values, enabling proactive healthcare interventions and decision-making.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
