AI SDTM mapping (R for ML, Python, TensorFlow for DL)

• UpdatedDec 14, 2023
• Jupyter Notebook

Development repo for pilot3 submission to FDA - ADaM

• UpdatedFeb 20, 2025
• XSLT

De-identifying CDISC SDTM data by Phuse rules using SAS

• UpdatedOct 26, 2020
• SAS

A dashboard to visualize what datasets were used to create each of the clinical trial datasets

• UpdatedMar 19, 2021
• R

Unit conversion, verification with Unified Code for Units of Measure (Python)

• UpdatedJun 18, 2020
• Jupyter Notebook

Code for the CDISC {admiral} hackathon, Feb 2023. The objective of this hackathon is to develop ADaM datasets in R using the ADaM in R Asset Library {admiral} and other Pharmaverse packages.

• UpdatedMar 6, 2023
• R

caAdapter provides model mapping, data mapping and transformation services among data sources like HL7 and Regulatory Data Sets.

• UpdatedJul 25, 2017
• Java

R scripts to process clinical trial data using the CDISC SDTM and ADaM standards. It automates the transformation of raw clinical data into structured SDTM datasets (e.g., DM, AE, VS domains) and analysis-ready ADaM datasets (ADSL, ADAE, ADVS). The project includes statistical summaries, descriptive analytics, and viz

• UpdatedJan 31, 2025
• R