Determining rate of recruitment information concerning a clinical trial
AssigneeAccenture Global Solutions Limited
InventorsAri YACOBI, Mitchell SHUSTER
Life of this patent
Estimating the term…
Abstract
A device may obtain identification information concerning a clinical trial, and may obtain, based on the identification information, selection information concerning the clinical trial and input information concerning the clinical trial. The device may select at least one machine learning model, of a plurality of machine learning models, based on the selection information, and may process, using the at least one machine learning model, the input information to determine predicted rate of recruitment (RoR) information concerning the clinical trial.
Claims20
A method, comprising:
- obtaining, by a device, identification information concerning a clinical trial;
- obtaining, by the device and based on the identification information, selection information concerning the clinical trial and input information concerning the clinical trial;
- selecting, by the device, at least one machine learning model, of a plurality of machine learning models, based on the selection information;
- and
- processing, by the device and using the at least one machine learning model, the input information to determine predicted rate of recruitment (RoR) information concerning the clinical trial.
A device, comprising:
- one or more memories;
- and
- one or more processors communicatively coupled to the one or more memories, to:
- obtain identification information concerning a clinical trial from a first different device;
- obtain, based on the identification information, selection information concerning the clinical trial and input information concerning the clinical trial from a second different device;
- select at least one machine learning model, of a plurality of machine learning models, based on the identification information and the selection information;
- and
- process, using the at least one machine learning model, the input information to determine predicted rate of recruitment (RoR) information concerning the clinical trial.
A non-transitory computer-readable medium storing instructions, the instructions comprising:
- one or more instructions that, when executed by one or more processors, cause the one or more processors to:
- obtain historical clinical trial information and historical rate of recruitment (RoR) information;
- train a plurality of machine learning models based on the historical clinical trial information and the historical RoR information;
- obtain identification information concerning a clinical trial;
- obtain, based on the identification information, selection information concerning the clinical trial and input information concerning the clinical trial;
- select at least one machine learning model, of the plurality of machine learning models, based on the selection information;
- process, using the at least one machine learning model, the input information to determine predicted RoR information concerning the clinical trial;
- obtain present RoR information concerning the clinical trial;
- determine a status of the clinical trial based on the present RoR information and the predicted RoR information;
- and
- cause, based on the determined status of the clinical trial, at least one action to be performed.
Dependencies are inferred from the claim text.