| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0a6379e5abf4e8f031291472b0f5e830 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H80-00 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H80-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-70
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H15-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-60
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L51-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/H04L67-12
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 |
| filingDate |
2022-06-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6a8ceb876426d29d61e9d256cd76bd67
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4cec1ff584f69f16beb5dc2954892580
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3b014dee8e867a0a2798ae96c678dab9
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_28d04b3042df97c7ed12d425742d207b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ca2bf76bb43f7e0878761984c2d1cedc |
| publicationDate |
2022-11-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2022375619-A1 |
| titleOfInvention |
System, methods, and apparatuses for managing data for artificial intelligence software and mobile applications in digital health therapeutics |
| abstract |
Disclosed herein are systems and methods of a digital therapy service to generate therapy regimen addressing a health condition, which may require the customer to perform various tasks and instruct devices to capture data related to the customer's therapy, including body metric measurements and information related to the number and quality of interactions between the user and aspects of the digital therapy service, sometimes referred to as “user-generated” inputs. The digital therapy service may calculate various metrics, such as scores and milestone determinations, to measure the customer's progress. The scores can be determined using dynamically generated and updated scoring models. Artificial intelligence chatbots may be used to deliver and capture information to and from customers during interactive sessions. Each customer may have a unique chatbot queue that contains the various chatbots that will be used to deliver particular aspects of the customer's therapy. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023215532-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11791026-B2 |
| priorityDate |
2017-04-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |