Pretrained ML model for HCP entity type
Learn more about the HCP entity type attributes to use this pretrained FERN model.
Use out-of-the box machine-learning (ML) to evaluate matches between pairs of entities.
This model is readily available, and preconfigured for the HCP (Healthcare professional) entity type for the Life Sciences Industry, but you don't have to have a velocity pack (VP) to use it.
If you're not using the Life Sciences VP, you'll have to map the attributes in your data model to the ones in this VP, while enabling this pretrained ML model. For details on market-specific data models, see topic Reltio velocity packs.
This table identifies the structure of Required Attributes (mandatory) and Other Attributes (optional) for the HCP (Healthcare professional) entity type pretrained ML model.
| Required Attributes | Other Attributes |
|---|---|
|
Identifiers/ID Identifiers/Type FirstName LastName MiddleName NameSuffix Phone/Type Phone/Number Email/Type Email/Email Address/AddressLine1 Address/AddressLine2 Address/AddressType Address/City Address/County Address/GeoLocation/Latitude Address/GeoLocation/Longitude Address/StateProvince Address/Zip/Zip4 Address/Zip/Zip5 |
Degree Education/EndYear Education/FieldofStudy Education/SchoolName Education/StartYear Education/Type Education/YearsInProgram Gender Title |
For more information on these attributes, see topic Healthcare Provider entity type for Life Sciences .