Combine machine learning and knowledge representation to facilitate the process of assessing evidence from studies of drug-drug interaction by using an existing ontology of evidence types (e.g. DDI clinical trials vs. pharmacokinetic trials), as the backbone to develop a series of classifiers that categorize a DDI study’s evidence type based on its textual characteristics.
-
Notifications
You must be signed in to change notification settings - Fork 1
Combine machine learning and knowledge representation to facilitate the process of assessing evidence from studies of drug-drug interaction by using an existing ontology of evidence types (e.g. DDI clinical trials vs. pharmacokinetic trials), as the backbone to develop a series of classifiers that categorize a DDI study’s evidence type based on …
infoqualitylab/DDI_Ontology_NLP
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Combine machine learning and knowledge representation to facilitate the process of assessing evidence from studies of drug-drug interaction by using an existing ontology of evidence types (e.g. DDI clinical trials vs. pharmacokinetic trials), as the backbone to develop a series of classifiers that categorize a DDI study’s evidence type based on …
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published