| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e757fd4fedc4fe825bb81b1b466a0947 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L13-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L13-043
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-749
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H80-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L25-66
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L15-22 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L15-22
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L13-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H80-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L25-66 |
| filingDate |
2018-11-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e69bf8049708882ff78ff07a7bf6b759
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cd2bb59ea179593ebcf1e0a2d6117afc
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_31ac3d51ff47a17d27f8b6d192530d62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_4d14bfb35df3f79847fdf9e9340a49c8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6d6ca3a79d32b87855a22df16fc7db22 |
| publicationDate |
2020-05-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2020152338-A1 |
| titleOfInvention |
Dynamically optimized inquiry process for intelligent health pre-diagnosis |
| abstract |
A system is provided for facilitating medical conversation. The system includes a user interface, having a Natural Language Processing (NLP) system and an Automatic Speech Recognition (ASR) system, for processing user utterances to extract symptoms, attribute types and attribute values from a user. The system further includes a memory for storing program code. The system also includes a processor for running the program code to transform the symptoms, the attribute types, and the attribute values into a graph and extract relative entities and relationships of the relative entities from the graph. The processor further runs the program code to calculate an Inquiry Efficiency Index (IEI) of each candidate inquiry path based on the relative entities and the relationships of the relative entities. The processor additionally runs the program code to calculate a recommended inquiry path from among the candidate inquiry paths based on the IEI of each candidate inquiry path. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023029501-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113823420-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023152117-A1 |
| priorityDate |
2018-11-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |