TB DEPOT (Tuberculosis Data Exploration Portal)
Description
There was a lack of deidentified, multidimensional tuberculosis socioeconomic, clinical, imaging, and pathogen genomic data available for researchers to use in developing models and learning more about TB cases.
Detailed example
User selects "cohorts" of tuberculosis cases from TB Portals containing structured clinical/socioeconomic, pathogen genomic, and imaging data for analysis as inputs. The outputs include confusion matrices, cohort comparisons, and visualizations like feature importance in the model. Outputs are available within the application and via an API.
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
Provide a no-code application for users to explore and analyze multidimensional TB Portals data.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
TB Portals data is used to train, fine tune and evaluate performance of the model.