Depression early warning method based on questionnaire and large language model and related equipment

The invention provides a depression early warning method based on a questionnaire and a large language model and related equipment, and is applied to the technical field of data processing. According to the method, target user information and a training sample set are obtained, and the training sample set comprises training cases of a target hospital in a preset time period and training cases received from other hospitals; processing the training sample set based on a preset processing rule to generate physiological state factor information; constructing a large language model based on a preset question library and preset question and answer logic; performing training processing on the large language model based on the physiological state factor information to generate a target large language model; processing the target user information to generate treatment information of the target user; processing the treatment information of the target user based on the target large language model to generate a diagnosis