US 12,170,131 B2
System for determining clinical trial participation
Delmonize A. Smith, Birmingham, AL (US)
Assigned to Acclinate Inc., Birmingham, AL (US)
Filed by Acclinate Inc., Birmingham, AL (US)
Filed on May 25, 2022, as Appl. No. 17/824,838.
Prior Publication US 2023/0386619 A1, Nov. 30, 2023
Int. Cl. G16H 10/20 (2018.01); G06Q 50/00 (2012.01); G16H 10/60 (2018.01)
CPC G16H 10/20 (2018.01) [G06Q 50/01 (2013.01); G16H 10/60 (2018.01)] 20 Claims
OG exemplary drawing
 
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.