Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_116c851e729089df9a427027272fa290 |
classificationCPCInventive |
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/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-04 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
filingDate |
2019-06-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2c919e7b15d4fd4742c2c2ba70b6fd29 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d28bc953f2fb140b9b9cfe0dda0d7488 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a4e456f2ad643a1b0f58c5e54ba8edc4 |
publicationDate |
2019-12-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
WO-2019246511-A1 |
titleOfInvention |
Predicting rates of hypoglycemia by a machine learning system |
abstract |
Systems, methods, and computer products can predict rates of hypoglycemia in patients. One of the methods includes receiving data representing medical records of a patient, the patient having been diagnosed with diabetes mellitus. The method includes determine an predicted rate of hypoglycemic events using a machine learning system, the machine being trained using data representing the medical records of a plurality of patients and the corresponding rate of hypoglycemic events for the respective patients. The methods also includes producing the predicted rate for the patient. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/TW-I770591-B |
priorityDate |
2018-06-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |