http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102217307-B1
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-367 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H10-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F16-22 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F16-22 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H70-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H10-60 |
| filingDate | 2019-07-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-02-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2021-02-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | KR-102217307-B1 |
| titleOfInvention | Machine Learning and Semantic Knowledge-based Big Data Analysis: A Novel Healthcare Monitoring Method and Apparatus Using Wearable Sensors and Social Networking Data |
| abstract | A new medical monitoring method and device using wearable sensors and social networking data is presented through machine learning and semantic knowledge-based big data analysis. A new medical monitoring device using wearable sensors and social networking data with machine learning and semantic knowledge-based big data analysis proposed in the present invention is used to provide data collected through wearable devices or sensors, medical records of patients, and socialization of patients and doctors. A data collection unit that collects discussion data on the network and data of medical web pages, a data storage unit of a big data cloud server that stores the collected data by connecting to a personal cloud server, and pre-analysis of the collected data, and the collected sensors It includes a big data analysis engine that performs data analysis including pre-processing and filtering of data, pre-processing of medical records, and pre-processing of social network content, and performing feature polarity identification and document labeling. The big data analysis engine extracts word embedding and ontology-based features from text data of stored data, extracts features from wearable devices or sensor data, performs a statistical approach to dimension reduction through principal component analysis, and is based on Bi-LSTM. Diabetes and BP classification and drug side effects are predicted. |
| priorityDate | 2019-07-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 101.