LUCID - Trusted Research Environment
收藏Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/2a2555a4-16ff-4aa0-876d-c3fe1838ea34/TriNetX-LLC_LUCID---Trusted-Research-Environment
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资源简介:
**What is it?**
- The evolution of our on-platform advanced analytics capabilities.
- Completely integrated data environment between TriNetX LIVE and Databricks.
- An analytics toolkit developed by TriNetX that makes working with real world data easier than ever.
**Why we introduced it?**
- Enable more types of analyses on our networks without downloading a dataset.
- Increase transparency and flexibility of analysis methods.
- Power federated analytics and deploy models in US and ex-US TriNetX data networks.
**Key Features**
- Data Integration: define a cohort and make the data available in Databricks for analysis within minutes. TriNetX offers two data formats to send to Databricks:
- Datasets: Contain every code, value, and date known to TriNetX for the patients in your cohort, including diagnoses, procedures, medications, labs, and more. TriNetX offers EHR datasets, linked EHR and closed claims datasets, and curated datasets. Check out the sample_dataset for a preview of the EHR dataset.
- Extracts: A no-code, point and click UI to define and generate a pre-processed patient level table that avoids having to write 1000s of lines of code. Check out the sample_extract for a preview.
- Python and R Functions: Data Wrangling time savers that allow you to go from code list to evidence table faster than ever. Check out [our documentation](https://lucid.trinetx.com/) for detailed information about our functions.
**Notebook Templates**
Attached you will find our Notebook Templates, which leverage the TriNetX Functions to quickly generate baseline characteristics tables and survival analyses. All of our Notebook Templates and Functions are available in both Python and R.
Notebooks for Datasets:
- Exploratory Data Analysis
- Baseline Characteristics
- Analyze Outcomes
Notebooks for Extracts:
- Baseline Characteristics
- Analyze Outcomes
提供机构:
TriNetX, LLC



