http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20200130527-A

Outgoing Links

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8d0fc2b70675ee19bd5fc464f5ae9061
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4094
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-165
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H20-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-16
filingDate 2019-05-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8b501bb40bb27deef9710b72f90c7a35
publicationDate 2020-11-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber KR-20200130527-A
titleOfInvention System and Method for AI-Based Panic Symptom Prediction
abstract An AI-based panic symptom prediction system according to an embodiment of the present invention includes: a biometric information monitoring unit for monitoring biometric information of a patient; An event information input unit receiving the patient's life pattern event information; A panic button provided to operate when the patient experiences panic symptoms or panic-like symptoms; An information storage unit for recording biometric information and life pattern event information for a predetermined period before and after the time when the input signal is generated when the panic button input signal by the patient is detected; And an AI learning model that is learned using the recorded biometric information and life pattern event information, and predicts the occurrence of panic symptoms of the patient using the biometric information and life pattern event information input in real time.
priorityDate 2019-05-08-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 21.