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AssigneeKoninklijke Philips N.V.
InventorsVinutha Kempanna, Srinivas Hariharan, Siripurapu Mahesh Reddy, Kiran Kumar Yadalam
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The present disclosure pertains to a system for providing model-based treatment recommendation via individual-specific machine learning models. In some embodiments, the system (i) obtains an audio recording of an individual, (ii) determines, from the audio recording, one or more utterance-related features of the individual; (iii) performs one or more queries based on the one or more utterance-related features to obtain health information (e.g., utterance-related conditions and treatments provided for the utterance-related conditions) associated with similar individuals having similar utterance-related conditions as the subject; (iv) provides the health information associated with the similar individuals to a machine learning model to train the machine learning model; and (v) provides, subsequent to the training of the machine learning model, the one or more utterance-related features to the machine learning model to determine one or more treatments for the individual.
A system for providing model-based treatment recommendation via individual-specific machine learning models, the system comprising:
A method for providing model-based treatment recommendation via individual-specific machine learning models, the method being implemented by one or more processors configured by machine readable instructions, the method comprising:
A system for providing model-based treatment recommendation via individual-specific machine learning models, the system comprising:
Dependencies are inferred from the claim text.