Systems and Methods for Identifying Candidates for Clinical Trials
AssigneeBEKHealth Corporation
InventorsJoshua Fuller Ransom, Jason Baumgartner
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AssigneeBEKHealth Corporation
InventorsJoshua Fuller Ransom, Jason Baumgartner
Estimating the term…
The present disclosure includes systems and methods for determining candidates for clinical trials from unstructured clinical trial protocols associated with the clinical trial and medical records of patients based on machine learning, natural language processing or both. The systems and methods of the present disclosure can extract tokens from unstructured clinical trial protocols based on Natural Language Processing (NLP) and determine clinical trial criteria. The systems and methods of the present disclosure can determine clinical indications from the medical data associated with the patients using natural language processing and determine whether the clinical indications match the clinical trial criteria and determine a probability that the patients meet the clinical trial criteria based on a crosswalk matching and determine candidates for clinical trial from the patients based on the determined probability.
A system for determining candidates for clinical trials, the system comprising:
A method for determining candidates for clinical trials, the method comprising:
A non-transitory computer readable medium storing instructions executable by a processing device, wherein execution of the instructions causes the processing device to implement a method for determining candidates for clinical trials, the method comprising:
Dependencies are inferred from the claim text.