http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-4038628-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_966a6c1f382ec9bcb5e3839dfd73e5b8 |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2800-285 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-70 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1118 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-112 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H70-60 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-6896 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-564 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/G16H50-20 |
| filingDate | 2020-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6378e569eb0fe8ef55da300db2594deb http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3b72580d821ac72d962d97e233ea1b7e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ab5f864d554108ee23e786c69b3332a1 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_094e841ac718cbea86f43b883497ae2d |
| publicationDate | 2022-08-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | EP-4038628-A1 |
| titleOfInvention | Means and methods for assessing multiple sclerosis (ms) |
| abstract | The present invention relates to the field of disease tracking and potentially even diagnostics. Specifically, it relates to a method for predicting the total motor score (EDSS) in a subject suffering from multiple sclerosis (MS) comprising the steps of determining at least one performance parameter from a dataset of measurements of active and passive gait and posture capabilities and cognitive capabilities from said subject, comparing the determined at least one performance parameter to a reference obtained from a computer-implemented regression model generated on training data, in an embodiment using random forest (RF) analysis, with the at least one performance parameters, and predicting the EDSS of the subject based on said comparison. The present invention also relates to a mobile device comprising a processor, at least one sensor and a database as well as software which is tangibly embedded to said device and, when running on said device, carries out the method of the invention as well as a system comprising a mobile device comprising at least one sensor and a remote device comprising a processor and a database as well as software which is tangibly embedded to said device and, when running on said device, carries out the method of the invention, wherein said mobile device and said remote device are operatively linked to each other. Furthermore, the invention contemplates the use of the aforementioned mobile device or system for predicting the EDSS in a subject suffering from MS using at least one performance parameter from a dataset of measurements of active and passive gait and posture capabilities and cognitive capabilities from said subject. |
| priorityDate | 2019-09-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 32.