CPC G16H 10/20 (2018.01) [G06Q 50/01 (2013.01); G16H 10/60 (2018.01)] | 20 Claims |
1. A system, comprising:
a processor of a participation probability (PP) node connected to at least one cloud server node over a network configured to host a machine learning (ML) module;
a memory on which are stored machine-readable instructions that when executed by the processor, cause the processor to:
receive a clinical trial (CT) request from a user device,
parse the CT request to derive at least one CT parameter,
query a patients' database based on the at least one CT parameter to store a set of potential CT participants on a local database,
collect social media activity-related data for each of the potential CT participants from the set,
generate a plurality of feature vectors based on the social media activity-related data for each of the potential CT participants, and
provide the plurality of feature vectors to the ML module for generating a predictive model indicating a participation probability index (PPI) for each of the potential CT participants.
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