| CPC G16H 50/20 (2018.01) [G16H 10/20 (2018.01); G16H 10/60 (2018.01)] | 13 Claims |
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1. A health care system for companion animals, the system comprising:
a memory configured to store computer-readable instructions; and
one or more processors configured to execute the computer-readable instructions such that the one or more processors are configured to:
collect lifelog data comprising basic information and biometric information about a companion animal,
provide a plurality of questionnaire data to a user terminal to perform self-diagnosis of a health condition of the companion animal and receive feedback information reflecting a response of the user terminal to the provided questionnaire data from the user terminal,
judge a health condition of the companion animal based on the collected lifelog data and the feedback information,
determine at least one health care service among a health coaching service and a medical service based on the judged health condition, and
provide the at least one health care service including an online reservation service for a hospital based on location information of the user terminal or location information of a wearable device worn by the companion animal,
wherein the one or more processors are further configured to provide the user terminal with symptom questionnaire data and N pieces of condition questionnaire data (N being a positive integer) corresponding to a response of the user terminal to the symptom questionnaire data, provide (N−1)th condition questionnaire data among the N pieces of condition questionnaire data to the user terminal, and provide Nth condition questionnaire data corresponding to a response of the user terminal to the (N−1)th condition questionnaire data to the user terminal,
wherein the one or more processors are further configured to:
(i) collect atypical disease information including information related to health, diseases, medical treatment or surgery about each of the plurality of companion animals, standardize the collected atypical disease information through a pre-processing process, categorize the standardized disease information, and construct a disease information database using the categorized disease information, and
(ii) generate an artificial intelligence (AI)-based disease judgment model through deep learning based on the disease information collected in advance and stored in the disease information database,
wherein the one or more processors are further configured to judge the health condition through the AI-based disease judgment model that receives the collected lifelog data and the feedback information as input data and outputs at least one of disease information and risk information corresponding to the input data, and
wherein the AI-based disease determination model is characterized by utilizing the diagnostic method of veterinary differential diagnosis (DDx) to narrow down the diagnostic scope, starting with the indicator symptoms and progressively refining the diagnosis through the (N−1)th condition questionnaire data and the Nth condition questionnaire data, and
wherein the one or more processors are further configured to:
when it is determined that at least one of the user terminal and the wearable device worn by the companion animal approaches the hospital within a preset distance based on at least one of the location information of the user terminal and the location information of the wearable device worn by the companion animal, (i) transmit a request signal to a terminal of the hospital to induce reception processing of the companion animal to be completed in advance and (ii) provide information necessary for medical treatment of the companion animal to the terminal of the hospital based on the reception processing being completed.
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