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Pretrained ML model for HCP entity type

Learn more about the HCP entity type attributes to use this pretrained machine-learning model.

Use out-of-the box pretrained machine-learning (ML) models to evaluate matches between pairs of entities, see topics Use a pretrained ML model with Match IQ and Enable a pretrained ML model using Match IQ.

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 more information on this, see topic Map attributes for pretrained ML models in Match IQ. 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.

Table 1. HCP (healthcare professional) entity type
Required AttributesOther Attributes

Identifiers/ID

Identifiers/Type

FirstName

LastName

MiddleName

SuffixName

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

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 .