| Abstrakt: |
A patent application has been submitted for a computational model and methods to select clinical trial subjects in order to reduce heterogeneity. The application aims to address the issue of distorted trial results caused by including subjects without appropriate diagnoses or symptoms. The methods proposed involve verifying eligibility through symptom representation and anomaly scoring, as well as enriching study populations to reduce heterogeneity. The patent application also includes methods for improving clinical datasets, treating psychiatric conditions, and determining subject participation in clinical trials. [Extracted from the article] |
