Data processing system for detecting health risks and causing treatment responsive to the detection

A data processing system for identifying health conditions responsive to health risks determined from natural language input, the data processing system comprising one or more processors configured to perform operations comprising:

• receiving input data comprising unstructured natural language text provided by a user, the input data representing one or more words or phrases describing experiences, activities, or emotional states of the user;
• processing the input data using one or more natural language processing models to extract semantic information from the unstructured natural language text;
• generating, based on the extracted semantic information, one or more classification outputs indicating presence or absence of one or more health risk factors;
• determining, for each of the one or more health risk factors, a prediction value indicative of a likelihood that the user is experiencing the health risk factor;
• and
• identifying a health condition for the user based on the prediction values for the one or more health risk factors.

A method for identifying health conditions responsive to health risks determined from natural language input, the method comprising:

• receiving, by one or more processors, input data comprising unstructured natural language text provided by a user, the input data representing one or more words or phrases describing experiences, activities, or emotional states of the user;
• processing, by the one or more processors, the input data using one or more natural language processing models to extract semantic information from the unstructured natural language text;
• generating, by the one or more processors and based on the extracted semantic information, one or more classification outputs indicating presence or absence of one or more health risk factors;
• determining, by the one or more processors and for each of the one or more health risk factors, a prediction value indicative of a likelihood that the user is experiencing the health risk factor;
• and
• identifying, by the one or more processors, a health condition for the user based on the prediction values for the one or more health risk factors.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving input data comprising unstructured natural language text provided by a user, the input data representing one or more words or phrases describing experiences, activities, or emotional states of the user;
• processing the input data using one or more natural language processing models to extract semantic information from the unstructured natural language text;
• generating, based on the extracted semantic information, one or more classification outputs indicating presence or absence of one or more health risk factors;
• determining, for each of the one or more health risk factors, a prediction value indicative of a likelihood that the user is experiencing the health risk factor;
• and
• identifying a health condition for the user based on the prediction values for the one or more health risk factors.